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Job Description Solutions Architect Our Client is an international consultancy with over 3000 employees. They are now looking to recruit a Senior Solutions Architect to based at the Company's Central London Offices. You will extensive and deep Expertise in following Application Development areas: • Expertise in application architecture using modern technologies such as cloud native development, 12 factor Apps, microservices, serverless, API management, Kafka, etc. • Deep knowledge of Microservices, Containers, REST APIs development, API Management tools (e.g. MuleSoft, Apigee), Kafka • Solution architect with broad expertise in wide range of digital technologies in areas of application platform development, web and mobile development, cloud, integration, security, etc. • Application dev experience with at least one of the cloud providers - Amazon AWS or MS Azure • Understanding of distributed computing paradigm and exposure to building highly scalable systems. • Experience with platform modernization and cloud migration projects • Expertise in Agile development methodologies like TDD, BDD, Performance/Load testing etc. • DevOps experience - CI/CD, Test Automation, Containerization - tools and processes • Should be conversant with emerging technologies - chatbots, voice/conversational interfaces, RPA, Machine Learning, etc. • In-depth, hands-on experience in developing web /mobile applications or platform with either Java/J2EE or .NET tech stack and database technologies such as Oracle, MySQL, etc. • Exposure to polyglot programming languages like Scala, Python and Golang will be a plus • Ability to read/write code and expertise with various design patterns • Have used NoSQL database such as MongoDB, Cassandra, etc. • Work on opportunities along with sales, practice, delivery teams through the pre-sales process • Develop customer proposals - solution architecture, pitch decks, estimating solution effort, resourcing and timelines • Translate requirements into solution architecture diagrams, implementation roadmap, delivery approach and other artifacts • Understand business & technology issues /challenges and translate that to modern technology solutions • Engage with business and IT groups to align solution architecture with strategic business direction • Build a trusted advisor relationship with business and technology leaders Stay periodically engaged throughout the entire project lifecycle to ensure ongoing alignment to established solution vision • Bachelors or master's degree in engineering (computer, electronics, etc.) • 20+ years of Solutions Architecture experience (or equivalent enterprise architecture experience) and in customer-facing roles • Vertical domain knowledge in Financial Services will be an advantage • Excellent written and verbal communication skills • Experience in client-driven large-scale application platform implementation projects • Experience and desire to work in a global delivery environment Ability to travel up to 40% • Familiarity with architecture modelling tools. TOGAF experience / certification desired but not necessary • Proven track record of designing / developing scalable solutions at the enterprise level • Demonstrated success in quickly understanding business needs and aligning it to technology solutions • Experience delivering solutions using an Agile / Scrum methodology Strong communications skills (e.g. active listening, requirements elicitation, oral, written, presentation, workshop facilitation, consensus building) The Clients offices as based in Holborn - Central London. The salary for this position will be based on expertise and will be in the range £90K - £120K. Please do send your CV to us in Word format along with you salary and availability.

Data Analytics Engineer Wantage - On site £45,000 to £55,000 + 15% Bonus + Private Healthcare + Progression + Training + Onsite Gym, Restaurant & More! Excellent opportunity for a Data Analytics Engineer that is looking for the next step in their career to join this industry leading, worldwide organisation! This company has an international presence and have operated for over 100 years. They are looking to maintain their recent growth and are expanding, part of this expansion means they need a Data Analytics Engineer to join, helping with this growth. In this varied role you will work with internal stakeholders of the business to identify opportunities to use company data to drive business solutions. You will also build algorithms and use machine learning tools to produce solutions to problems. The ideal candidate will have great experience with Azure Databricks, have SAP Model skills and an IT related Degree. They will also have general analytics tools experience such as Power BI and Excel. This is a fantastic opportunity for a Data Analytics Engineer to work with an industry leading business to achieve their goals whilst progressing in your own career with uncapped possibilities. The Role: *Working with internal stakeholders *Looking for opportunities to use Data Insights *Assess effectiveness of data sources and techniques *5 Days On site in Wantage The Person: *3+ Years of Experience *Azure Databricks Experience *Experience Building Algorithms *General Analytics Tools (Power Bi, Excel etc) Reference Number: BBBH244502

Job Description Senior Software Engineer with Python and Java Our Client is looking to recruit brilliant Software Engineer with upwards of 5 to 10 years solid proven track record of developing complex applications with Python coupled with Machine Learning and ideally Go. We're looking to recruit initially 2 excellent Software Engineers to work with an existing team of 4 software developers on a very large strategic consulting engagement within the Life Sciences industry. So if you any experience with the Life Sciences domain - then the Client would be very interested to see your profile. Must be 100% trustworthy with real integrity - this is a highly sensitive project. Key skills: Python, Machine Learning, Java The Client would like to see solid expertise of working with and developing complex applications with Java. Excellence is vital. Ideally have security clearance. The Client has offices in Central London and the project is based in Oxford and are happy with remote working for the foreseeable future. They are absolutely committed to family-friendly operations with diversity & work-life balance. Daily rate for this assignment will be dependent on your expertise - but will be in the range £500 to £2000 per day. Duration for this assignment will be 3 to 6 months initially with possibility of the role becoming permanent at some point in the future. The ideal candidate will have a PhD in Computer Science although an MSc with excellent skills may work. Please note we really are looking for the best software developers - the cream of the crop - or crème de la crème. Do send your CV to us in Word format along with your daily rate and availability.

Job Description Data Analytics Senior Manager - Kings Cross London The Data Analytics team provides information that is accurate, consistent, timely and reliable, and ensure the information is easily available to users for direct consumption or integration with other systems. The DA team trains CSI managers and staff to use the data as an analytical tool for the purpose of understanding and option exploration. • Champion enterprise-wide culture of fact-based decisions, data quality and accountability. • Serve as the administrative chair facilitating a business data analytics governance council which shall review and approve information policies, data analytics priorities and resource allocations. • Review and recommend approval for information related policies, procedures and standards. • Directs, organizes, and leads DA workstream projects. • Works on highly complex, cross-functional, and enterprise solutions. • Establishes processes, roles and quality criteria for workstream planning process including inception, technical design, development, testing and delivery of DA solutions. • Reviews and approves work plans, timelines, deliverables and resource commitments. • Reviews and approves data architecture, data models and specifications. • Establishes and publishes performance metrics and plans for DA service demand and service levels. • Prepares and manages annual capital and operating budgets for DA assets, personnel and services. • Recruits, hires, develops and motivates the DA team members. • Reviews and approves functional requirements and business cases for DA improvements. • Advises executives on how DA (processes, practices and technologies) play a critical role in improving business management and optimization. • Aligns DA technologies with CSI strategic initiatives. • Approves selection of tools, frameworks and mechanisms for data analytics. Responsible for strategic, tactical, operational, financial, human, and technical resource managerial responsibilities associated with the following DA and DA-related functional areas: • Data governance • Data preparation (sourcing, acquisition, integration) • Data warehousing • Reporting, analytics, data exploration • Information delivery (portals, mobile) DA competency center or center of excellence (DA COE) • A university degree in computer science, economics, operations, management, or a related field is required • A minimum of five (5) years of progressively responsible experience in a directly related area, during which both professional and management capabilities have been clearly demonstrated. • Industry/domain skills: Extensive expertise in finance, HR, sales, marketing, product lifecycle management, manufacturing and post-sales service. • Medical device or pharmaceutical industry experience is preferred. • Experience in and understanding of a wide variety of analytical processes (governance, measurement, etc.). • Experience with agile software development. • A solid understanding of key trends including machine learning and artificial intelligence. General business skills: • Analytical mind with a problem-solving aptitude expressed with clear, concise written, verbal and presentation skills. • Experience managing global, complex projects and teams. • Ability to complete projects and achieve results in an ambiguous work environment. • Ability to take initiative and be innovative. • Ability to establish and articulate a vision, set goals, develop and execute strategies, and track and measure results. • Ability to build and motivate a team to achieve well communicated expectations. • Strong leadership and consensus building abilities across global cultures and all levels of management. The salary for this role is expected to be in the range £70K - £85K. Location is Kings Cross London. Please send your CV to us in Word format along with your salary and availability.

Job Title: Senior Embedded Software Engineer Location: Oxford (Hybrid Model) Salary: £90,000 - £95,000 Overview: Join A leading technology company based in Oxford specialising in next-generation machine learning accelerators is seeking a talented Senior Embedded Software Engineer. This role focuses on developing and optimising low-level system software, including device drivers and runtime, to enable efficient hardware-software integration for advanced AI workloads. The position involves OS integration, interconnect infrastructure design, and system-level performance optimization for cutting-edge hardware platforms. Senior Embedded Software Engineer Responsibilities: • Develops, optimise, and tests kernel-space drivers and user-space runtime. • Builds tools such as profilers, system monitors, and management utilities. • Designs interconnect infrastructure for accelerator communication. • Defines hardware-software interfaces for FPGA and ASIC-based platforms. Senior Embedded Software Engineer Qualifications: • Strong background in developing Linux device drivers • Proficiency in creating drivers for custom hardware (FPGA, GPU, NPU). • Expertise in C programming and Shell scripting. • Knowledge of ML accelerator stacks If this position sounds of interest please reach out to Harry Click here to contact this recruiter Resources.

Job Description MI Analyst The successful candidate will have very strong knowledge and experience in developing and supporting the BI systems with the focus being on Hyperion Workspace 9.3.0.1. They must have very good experience in the development of Applications in OLAP Environments particularly Hyperion Planning 11.1.1.2 and Hyperion Essbase. They should also have experience with SQL Server and SQL Server Integration Services SSIS. Good business understanding and ability to analyse business needs and requirements is also essential It would be excellent if the individual has had exposure to Banking/Financial environment, PC development platforms and knowledge of banking systems like Equation, Findur, Eximbills. The ability to speak a second European language is desirable but not essential. Installs/updates Eximbills and related systems. Supports and maintains Eximbills and related systems Trains users in Eximbills and related systems Project manage complete cycle of Eximbills implementations and upgrades Prepared to undertake ad hoc tasks, as and when needed Prepare necessary documentation relating to new and existing systems At least 2+ years in Eximbills toolkit. Experience in Trade Finance and/or Payments Analysis. Demonstrable ability to support production environments, and be able to show an understanding of business continuity practices. Demonstrable ability to solve problems, and show initiative. Experience in Misys Equation Banking system related modules Exposure to Banking/Financial environment. PC environment knowledge Exposure to PC development platforms ISeries environment knowledge The role will be based in the City London. Salary range will be circa £50K - £60K + benefits Do send your CV to us in Word format along with your salary and availability.

This is an incredible opportunity for a Field Application Engineer to join a brand-new facility based in Munich, part of a leading RISC-V multinational. This role could also be based from Stuttgart. Our client is a phenomenally successful RISC-V processor company addressing AI applications. They have an impressive roadmap and a hugely promising future, comprised of a truly world-class team of AI and CPU experts. As part of plans to significantly build their European presence, they seek an experienced Field Application Engineer with an understanding of high-end CPUs to join their new team. In this role, the Field Application Engineer will serve as the primary technical contact with customers within the automotive industry, and provide expert guidance and support in implementing AI / Machine Learning software solutions. This team is developing from ground zero, so it’s a chance to join as one of the very first hires and make a truly significant impact. You will have: • A MSc degree in Electronic Engineering or related technical field • Proven experience as a Field Application Engineer, Application Engineer, or Solutions Architect, with a focus on AI / Machine Learning software • Programming skills in Python and C++ • Fluent language skills in English, strong German skills • Experience working within the automotive / RISC-V domain would be beneficial Our client will offer an exceptional salary and very generous stock option plan. For details, get in touch! please contact Caroline Pye.

Job Description MI Analyst with MS SQL Server - City London Our Client is an international bank with offices in the City London. They are looking to recruit an MI Analyst with at least 5 years experience of MS SQL Server, SSIS, SSRS, and Sharepoint. The main elements of the role are follows: - Work within MI team in supporting and delivering all aspects of MI - BAU encompassing data warehouse back end maintenance and Housekeeping - Support annual Disaster Recovery invoking/testing - Contribute to design, build and implementation of new reports and applications/interfaces. - Facilitate internal/external Audits and Penetration Testing. Remediation General Skills -Experience working within mission-critical environments -Experience in operational deployments -Maintains required industry recognised skills through training and self-study methods Technical Skills -In-depth knowledge of MS SQL -In-depth knowledge of SDLC -C# Development (advantageous) Technologies SQL - TSQL, SSIS and SSRS. SQL - DBA. SharePoint & InfoPath. Hyperion (Oracle EPM). C# Any experience of process automation and Equation/iSeries DB knowledge. SWIFT. AIX would be very handy. Good interpersonal skills Thorough and reliable Technically competent Ability to work unsupervised This is 6 month full-time permanent role. The salary will be £45K - £50K pro-rata. It is intended that you will work 2 days from the office and 3 days remotely from home for the foreseeable future. Do send your CV to us in Word format along with your salary and availability.

Job Description Data Scientist - Manchester Our Client an international organisation is looking to recruit a Data Scientist with 7 to 10 years expertise as a Data Scientist. You will have Natural Language Processing (NLP) knowledge and experience and understand and analyse large data sets to discover new insights. Working in a multi-disciplinary team within a highly technical and complex environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble Methods Model using advanced statistical/ mathematical models, predict and segment data to hypothesize/ evolve uses cases to monetize data and generate other business value. Translate business needs to technical requirements and implementation. Experience of Big Data technologies/Big Data Analytics. C++, Java, Python, Shell Script R, Matlab, SAS Enterprise Miner Elastic search and understanding of Hadoop ecosystem Experience working with large data sets, experience working with distributed computing tools like Map/Reduce, Hadoop, Hive, Pig etc. Advanced use of Excel spread sheets for analytical purposes MSc or PhD in Data Science or an analytical subject (Physics, Mathematics, Computing) or other quantitative discipline The position is based close to Manchester. The salary for this position will be circa £75K - £85K plus benefits. Please send your CV to us in Word format along with salary and availability details.

Job Description Big Data Scientist - Docklands London Our Client an international organisation is looking to recruit a Big Data Expert with 2 to 5 years expertise as a Big Data Scientist. You will have Natural Language Processing (NLP) knowledge and experience and understand and analyse large data sets to discover new insights. Working in a multi-disciplinary team within a highly technical and complex environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble Methods Model using advanced statistical/ mathematical models, predict and segment data to hypothesize/ evolve uses cases to monetize data and generate other business value. Translate business needs to technical requirements and implementation. Experience of Big Data technologies/Big Data Analytics. C++, Java, Python, Shell Script R, Matlab, SAS Enterprise Miner Elastic search and understanding of Hadoop ecosystem Experience working with large data sets, experience working with distributed computing tools like Map/Reduce, Hadoop, Hive, Pig etc. Advanced use of Excel spread sheets for analytical purposes An MSc or PhD in Data Science or an analytical subject (Physics, Mathematics, Computing) or other quantitative discipline would be handy. The position is based in the Docklands London. This is a 3 to 6 month contract assignment. Please send your CV to us in Word format along with daily rate and availability details.

Join one of the world's foremost RISC-V companies as a Field Application Engineer, contributing to the development of cutting-edge CPU products for applications such as 5G, AI, and machine learning. Success in this role comes with an attractive base, bonus and equity, based in either the Bay Area or Austin (or fully remote for exceptional matches). They’re looking for a Field Application Engineer to spearhead presales technical engagements with both existing and prospective customers. You'll play a crucial part in crafting and delivering market-focused solutions. Requirement: • Experience with working directly with CPU technology • A background in owning and managing customer engagements – \"true\" FAE experience isn’t required, although beneficial • BSc / MSc degree in Computer Science, Electrical Engineer or similar • Available for 15% Travel within the U.S Apply now for this Field Application Engineer role or contact Paula Click here to contact this recruiter Resources for more details. We have a number of other roles available too.

I'm currently partnered with a Semiconductor start-up, based in Silicon Valley. They are working on re-imagining Silicon, creating RISCV based computing platforms aimed at transforming the industry. As a Senior Performance Modelling Engineer you will develop functional and timing simulators, undertake performance analysis for architectural exploration and identify and fix performance bottlenecks. You'll also be involved in workload analysis, to develop a deep understanding of the characteristics of workloads in the target market (machine learning, data analytics, graph analytics). They are looking for a passionate and dedicated person and in return, you'll get the opportunity to work in a fun, flexible collaborative working environment. Their team in the UK is currently small, but growing rapidly, therefore you have the chance to be part of a disruptive and talented group of exceptional people. What's required for this Senior Performance Modelling Engineer position? • Strong C/C++ development skills • Excellent understanding of GPU/CPU architecture and microarchitecture • Knowledge of performance modelling concepts • SIMT processing, cache and memory hierarchies • Understanding of benchmarks and workloads in the ML space If you are a Senior Performance Modelling Engineer, looking for an opportunity to work in a flexible, creative environment, please apply to learn more! If you are interested in this, or other software opportunities across the UK, please contact Jack Bird at IC Click here to contact this recruiter

Job Description Big Data Scientist - Expert - Manchester Our Client an international organisation is looking to recruit a Big Data Expert with 7 to 10 years expertise as a Big Data Scientist. You will have Natural Language Processing (NLP) knowledge and experience and understand and analyse large data sets to discover new insights. Working in a multi-disciplinary team within a highly technical and complex environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble Methods Model using advanced statistical/ mathematical models, predict and segment data to hypothesize/ evolve uses cases to monetize data and generate other business value. Translate business needs to technical requirements and implementation. Experience of Big Data technologies/Big Data Analytics. C++, Java, Python, Shell Script R, Matlab, SAS Enterprise Miner Elastic search and understanding of Hadoop ecosystem Experience working with large data sets, experience working with distributed computing tools like Map/Reduce, Hadoop, Hive, Pig etc. Advanced use of Excel spread sheets for analytical purposes An MSc or PhD in Data Science or an analytical subject (Physics, Mathematics, Computing) or other quantitative discipline would be handy. The position is based close to Manchester. The salary for this Big Data Scientist position will be circa £75K - £85K plus benefits. Please send your CV to us in Word format along with salary and availability details.

Job Description Project Manager with Digital Banking Operations and Artificial Intelligence AI We are seeking a Project Manager with Digital Banking Operations and Artificial Intelligence (AI) Projects experience to join our Client a bank based in Central London. This is a full-time role located in London, with flexibility for some remote work. As an AI project manager, you be responsible for overseeing and managing the implementation of AI projects within our digital banking operations. You will collaborate with cross-functional teams to define project goals, develop project plans, allocate resources, track progress, and ensure timely and successful delivery of projects. Experience and Qualifications • Previous experience in project management, preferably within the banking or financial services industry • Strong understanding of digital banking operations and Artificial Intelligence AI technologies • Proven track record of successfully delivering complex projects on time and within budget • Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams • Strong problem-solving and decision-making abilities • Knowledge of agile project management methodologies • Experience with data analysis and reporting • Ability to adapt to changing priorities and work well under pressure • Project management certification (e.g., PMP) is a plus • Bachelor's degree in a relevant field Areas to Consider 1. Customer Service Enhancement • Chatbots and Virtual Assistants: Deploy AI-driven chatbots to handle routine inquiries, provide 24/7 support, and reduce wait times. • Sentiment Analysis: Use AI to analyze customer feedback and sentiment from various channels to improve services. 2. Fraud Detection and Prevention • Real-Time Monitoring: Implement AI algorithms to detect and flag unusual transactions in real-time. • Predictive Analytics: Use machine learning models to predict potential fraud based on historical data and behavioural patterns. 3. Loan Processing Automation • Credit Scoring: AI can evaluate creditworthiness more accurately by analyzing a wider range of data points. • Document Verification: Automate the verification of documents submitted for loan applications, speeding up the approval process. 4. Personalized Banking Services • Customer Insights: Leverage AI to gain insights into customer behaviour and preferences, allowing for personalized product recommendations. • Marketing Campaigns: Use AI to target customers with tailored marketing campaigns based on their transaction history and preferences. 5. Risk Management • Risk Assessment: AI can analyze market trends and economic indicators to provide early warnings about potential risks. • Compliance Monitoring: Automate compliance checks and monitoring to ensure adherence to regulations and reduce the risk of non-compliance penalties. 6. Operational Efficiency • Process Automation: Use robotic process automation (RPA) to handle repetitive tasks such as data entry, account reconciliation, and report generation. • Workflow Optimization: AI can optimize workflows by identifying bottlenecks and suggesting improvements. Implementation Strategy • Assessment: Evaluate the current state of digital banking operations and identify areas where AI can add value. • Pilot Projects: Start with pilot projects to test AI applications in a controlled environment. • Scalability: Ensure that AI solutions are scalable and can handle increasing volumes of data and transactions. • Employee Training: Train staff on AI tools and their applications to ensure seamless integration. • Continuous Improvement: Regularly update AI models and algorithms based on new data and evolving business needs. Challenges and Considerations • Data Quality: Ensure high-quality data for accurate AI predictions and analysis. • Regulatory Compliance: Stay compliant with financial regulations while implementing AI solutions. • Customer Trust: Maintain transparency in AI-driven decisions to build and maintain customer trust. • Integration: Seamlessly integrate AI with existing banking systems and processes. The main emphasis of this position to is harness the data from a variety of data tables at the bank and collate a Data Lake from which to extract a variety of AI reports to increase the banks customer strategy. By strategically implementing AI in these areas, a Digital Banking Operations Manager can greatly improve the efficiency, security, and customer satisfaction in digital banking operations. The position will be hybrid 3 days a week in the office. The salary is negotiable depending on experience but probably in the range £80K - £120K plus benefits. Do send your CV to us in Word format along with your salary and notice period.

I'm partnering with a semiconductor scale up who develop advanced IP solutions focused on real time monitoring and analytics for SoCs by leveraging AI/machine learning. With key account wins and strong momentum in critical markets, they are looking for a Sales Director. In this role as a Sales Director, you’ll be in the Bay Area and will be focused on this region. You’ll manage existing customer accounts while also identifying and securing new business opportunities. With a competitive base salary, bonus, and equity package Requirements: • Extensive background in strategic sales in the semiconductor industry • Semiconductor IP experience • Track record of successfully driving business growth Apply now for this Sales Director role or contact Paula Click here to contact this recruiter Resources for more details. We have a number of other semiconductor technical sales roles available too.

Exciting opportunity to work on the latest cutting edge technology in the semiconductor industry. In this new role as senior digital design engineer you will have the opportunity to contribute to advanced technology nodes, consisting of RISC-V designs, CPU architecture, PCIe protocols and machine learning. I am looking to speak with senior digital design engineers - who have experience of, or an interest in: • Degree in Electronics / Microelectronics or similar field • 5+ years' experience in ASIC / FPGA design projects • UVM environments & processes • System Verilog for IP / SOC design of digital ICs / ASIC IP or chips • Complex ASIC/FPGA designs & architecture for advanced technology nodes • RISC-V / CPU / GPU knowledge (is a bonus, but not required) • PCIe knowledge (also a bonus skill) • scripting / coding skills - C/C++, python etc. ***Visa sponsorship and relocation support can be offered if required (dependent on experience/qualifications)***