New hybrid Senior Software Engineer - Rust job based in Cambridge, Cambridgeshire! We re looking for a talented Rust Senior Software Engineer to join a cutting-edge team based in Cambridge, Cambridgeshire developing real-world AI solutions - including ultra-low-latency speech recognition and large-scale foundation models. Key responsibilities and requirements for the Senior Software Engineer job: Building the software that runs machine learning (ML) tasks quickly and efficiently on the FPGA-based hardware Program bespoke hardware accelerators and create tools for debugging, profiling and optimisation Develop efficient applications and runtime libraries for server CPU s Key skills / experience required for the Senior Software Engineer job: MSc/PhD in a related scientific / engineering field Proven Rust programming experience using Rust Experience with low-level programming languages in general (e.g. Rust, C, C++) or functional programming languages (e.g. Haskell, OCaml, Nix) This is a great opportunity for a Senior Software Engineer to join a passionate team of engineers developing software systems that perform at scale and speed in Cambridge, Cambridgeshire. Apply now for the hybrid Senior Software Engineer job in Cambridge, Cambridgeshire.
21/06/2025
Full time
New hybrid Senior Software Engineer - Rust job based in Cambridge, Cambridgeshire! We re looking for a talented Rust Senior Software Engineer to join a cutting-edge team based in Cambridge, Cambridgeshire developing real-world AI solutions - including ultra-low-latency speech recognition and large-scale foundation models. Key responsibilities and requirements for the Senior Software Engineer job: Building the software that runs machine learning (ML) tasks quickly and efficiently on the FPGA-based hardware Program bespoke hardware accelerators and create tools for debugging, profiling and optimisation Develop efficient applications and runtime libraries for server CPU s Key skills / experience required for the Senior Software Engineer job: MSc/PhD in a related scientific / engineering field Proven Rust programming experience using Rust Experience with low-level programming languages in general (e.g. Rust, C, C++) or functional programming languages (e.g. Haskell, OCaml, Nix) This is a great opportunity for a Senior Software Engineer to join a passionate team of engineers developing software systems that perform at scale and speed in Cambridge, Cambridgeshire. Apply now for the hybrid Senior Software Engineer job in Cambridge, Cambridgeshire.
Our client a London based Technology and Data Engineering leader have an opportunity in a high growth AI Lab for an AI Engineering Researcher' A UK based 'Enterprise' Artificial Intelligence organisation, focussing on helping accelerate their clients journey towards becoming 'AI-Optimal' - starting with significantly enhancing its abilities in leveraging AI & machine intelligence to outperform traditional competition. The firm builds upon its rapidly expanding research team of exceptional PhD computer scientists, software engineers, mathematicians & physicists, to use a unique multi-disciplinary approach to solving enterprise-AI problems. Principal Activities of role: Data Pipeline Development: • Design, develop, and maintain ETL processes to efficiently ingest data from various sources into data warehouses or data lakes. • Data Integration and Management: Integrate data from disparate sources, ensuring data quality, consistency, and security across systems. Implement data governance practices and manage metadata. • System Architecture: Design robust, scalable, and high-performance data architectures using cloud-based platforms (e.g., AWS, Google Cloud, Azure). • Performance Optimization: Monitor, troubleshoot, and optimize data processing workflows to improve performance and reduce latency. Typical background: Bachelor s or Master s degree in computer science/engineering/Math/Physics, plus one or more of the following: Proficiency in programming languages such as Python, Java, or Scala. Strong experience with SQL and database technologies (incl. various Vector Stores and more traditional technologies e.g. MySQL, PostgreSQL, NoSQL databases). Hands-on experience with data tools and frameworks such as Hadoop, Spark, or Kafka - advantage Familiarity with data warehousing solutions and cloud data platforms. Background in building applications wrapped around AI/LLM/mathematical models Ability to scale up algorithms to production Key Proposition: - This role offers the opportunity to be part of creating world-class engineered solutions within Artificial Intelligence / Machine Learning, with a steep learning curve and an unmatched research experience. Time Commitments: 100% (average 40 hours per week)
21/06/2025
Full time
Our client a London based Technology and Data Engineering leader have an opportunity in a high growth AI Lab for an AI Engineering Researcher' A UK based 'Enterprise' Artificial Intelligence organisation, focussing on helping accelerate their clients journey towards becoming 'AI-Optimal' - starting with significantly enhancing its abilities in leveraging AI & machine intelligence to outperform traditional competition. The firm builds upon its rapidly expanding research team of exceptional PhD computer scientists, software engineers, mathematicians & physicists, to use a unique multi-disciplinary approach to solving enterprise-AI problems. Principal Activities of role: Data Pipeline Development: • Design, develop, and maintain ETL processes to efficiently ingest data from various sources into data warehouses or data lakes. • Data Integration and Management: Integrate data from disparate sources, ensuring data quality, consistency, and security across systems. Implement data governance practices and manage metadata. • System Architecture: Design robust, scalable, and high-performance data architectures using cloud-based platforms (e.g., AWS, Google Cloud, Azure). • Performance Optimization: Monitor, troubleshoot, and optimize data processing workflows to improve performance and reduce latency. Typical background: Bachelor s or Master s degree in computer science/engineering/Math/Physics, plus one or more of the following: Proficiency in programming languages such as Python, Java, or Scala. Strong experience with SQL and database technologies (incl. various Vector Stores and more traditional technologies e.g. MySQL, PostgreSQL, NoSQL databases). Hands-on experience with data tools and frameworks such as Hadoop, Spark, or Kafka - advantage Familiarity with data warehousing solutions and cloud data platforms. Background in building applications wrapped around AI/LLM/mathematical models Ability to scale up algorithms to production Key Proposition: - This role offers the opportunity to be part of creating world-class engineered solutions within Artificial Intelligence / Machine Learning, with a steep learning curve and an unmatched research experience. Time Commitments: 100% (average 40 hours per week)
CNC Laser Operator (Technical Support Engineer Training) Starting Basic Salary up to 35'000 + Vehicle + Progression + Training + Excellent Company Benefits Commutable from: Luton, Milton Keynes, Bedford, Stevenage, Welwyn Garden City, St Albans, Hemel Hempstead, Dunstable, Leighton Buzzard Are you a CNC Laser or Punch Press Operator / Programmer, looking to work for an industry-leading OEM, who are offering a rare opportunity to step-up and become a Technical Support / Applications Engineer? This is an exciting and highly-varied opening, which is offering full specialist training and lots of progression to enable you to come off the tools, playing an important role in sales, demonstrations and customer support. Now is a fantastic time to join this incredibly well-established manufacturer of CNC machine tools, with whom you will have the chance to work with a number of high-profile, blue chip clients across the UK. On offer is an office based role, with frequent travel to cutting edge manufacturing facilities, where you will learn to lead demo's and support on state-of-the-art CNC lasers / punch press machines. This role suits a CNC Laser or Punch Press Operator / Programmer, looking to become a Technical Support Engineer / Applications. The Role Training to become a Technical Support Engineer / Applications Engineer. Office-based, with frequent travel to blue chip manufacturing sites across UK. Learning to lead demo's and support on state-of-the-art CNC lasers / punch press machines. The Person CNC Laser or Punch Press Operator / Programmer. Wanting long term progression and specialist training. Looking to become a Technical Support Engineer / Applications Engineer. Reference Number: BBBH(phone number removed) Please click "Apply Now" or contact Ben Dunsford at Rise Technical Recruitment. Rise Technical Recruitment Ltd acts an employment agency for permanent roles and an employment business for temporary roles. The salary advertised is the bracket available for this position. The actual salary paid will be dependent on your level of experience, qualifications and skill set. We are an equal opportunities employer and welcome applications from all suitable candidates.
20/06/2025
Full time
CNC Laser Operator (Technical Support Engineer Training) Starting Basic Salary up to 35'000 + Vehicle + Progression + Training + Excellent Company Benefits Commutable from: Luton, Milton Keynes, Bedford, Stevenage, Welwyn Garden City, St Albans, Hemel Hempstead, Dunstable, Leighton Buzzard Are you a CNC Laser or Punch Press Operator / Programmer, looking to work for an industry-leading OEM, who are offering a rare opportunity to step-up and become a Technical Support / Applications Engineer? This is an exciting and highly-varied opening, which is offering full specialist training and lots of progression to enable you to come off the tools, playing an important role in sales, demonstrations and customer support. Now is a fantastic time to join this incredibly well-established manufacturer of CNC machine tools, with whom you will have the chance to work with a number of high-profile, blue chip clients across the UK. On offer is an office based role, with frequent travel to cutting edge manufacturing facilities, where you will learn to lead demo's and support on state-of-the-art CNC lasers / punch press machines. This role suits a CNC Laser or Punch Press Operator / Programmer, looking to become a Technical Support Engineer / Applications. The Role Training to become a Technical Support Engineer / Applications Engineer. Office-based, with frequent travel to blue chip manufacturing sites across UK. Learning to lead demo's and support on state-of-the-art CNC lasers / punch press machines. The Person CNC Laser or Punch Press Operator / Programmer. Wanting long term progression and specialist training. Looking to become a Technical Support Engineer / Applications Engineer. Reference Number: BBBH(phone number removed) Please click "Apply Now" or contact Ben Dunsford at Rise Technical Recruitment. Rise Technical Recruitment Ltd acts an employment agency for permanent roles and an employment business for temporary roles. The salary advertised is the bracket available for this position. The actual salary paid will be dependent on your level of experience, qualifications and skill set. We are an equal opportunities employer and welcome applications from all suitable candidates.
Expleo is a trusted partner for end-to-end, integrated engineering, quality services, and management consulting for digital transformation. We help businesses harness unrelenting technological change to successfully deliver innovations that provide a competitive edge and improve everyday life around the world. With a strong heritage in the automotive sector, we are expanding our capabilities in Electrical and Embedded Systems. We're looking for talented Automotive Software Engineers to help drive forward innovation and excellence in next-generation vehicle technologies. Role Overview: As an Automotive Software Engineer, you will play a pivotal role in delivering high-performance embedded software solutions across a variety of electrical and electronic systems. You will contribute to the design, development, and optimisation of system-level software in safety-critical automotive applications. Key Responsibilities: You'll be involved in the full lifecycle of embedded software development, including: Operating Systems: Developing and maintaining low-level software that manages hardware resources. Device Drivers: Creating interfaces between hardware components and operating systems. Compilers: Building tools to translate high-level code into machine instructions. Firmware Development: Engineering software to control and manage specific hardware functions. Networking Software: Designing communication protocols and software for system interconnectivity. System-Level Security: Implementing robust security measures to safeguard systems from vulnerabilities. Performance Optimisation: Enhancing system speed, efficiency, and responsiveness. Required Qualifications & Experience: Degree in Computer Science, Software Engineering, or a related engineering discipline. Strong programming skills in Embedded C, with additional proficiency in C++ or Assembly as a plus. Solid understanding of computer architecture and hardware/software interaction. In-depth knowledge of operating systems (e.g. RTOS, AUTOSAR environments). Proven problem-solving and debugging capabilities in embedded systems. Experience in automotive software development and testing processes. Familiarity with AUTOSAR architecture and concepts. Experience working on safety-critical software projects (e.g. ISO 26262 environments). Desired Skills: Experience with Analog Devices' wBMS/BMS chipsets. Knowledge of battery management systems and their software frameworks. Familiarity with automotive communication protocols (e.g. CAN, LIN, FlexRay). Why Join Expleo? Be part of a collaborative and innovation-driven team. Work on industry-leading automotive projects that are shaping the future of mobility. Access continuous learning and career development support. Enjoy a flexible and inclusive work culture with global opportunities. How to Apply: Interested candidates are encouraged to submit their CV and a short cover letter outlining relevant experience to; Leanne Eaton, (url removed)
20/06/2025
Full time
Expleo is a trusted partner for end-to-end, integrated engineering, quality services, and management consulting for digital transformation. We help businesses harness unrelenting technological change to successfully deliver innovations that provide a competitive edge and improve everyday life around the world. With a strong heritage in the automotive sector, we are expanding our capabilities in Electrical and Embedded Systems. We're looking for talented Automotive Software Engineers to help drive forward innovation and excellence in next-generation vehicle technologies. Role Overview: As an Automotive Software Engineer, you will play a pivotal role in delivering high-performance embedded software solutions across a variety of electrical and electronic systems. You will contribute to the design, development, and optimisation of system-level software in safety-critical automotive applications. Key Responsibilities: You'll be involved in the full lifecycle of embedded software development, including: Operating Systems: Developing and maintaining low-level software that manages hardware resources. Device Drivers: Creating interfaces between hardware components and operating systems. Compilers: Building tools to translate high-level code into machine instructions. Firmware Development: Engineering software to control and manage specific hardware functions. Networking Software: Designing communication protocols and software for system interconnectivity. System-Level Security: Implementing robust security measures to safeguard systems from vulnerabilities. Performance Optimisation: Enhancing system speed, efficiency, and responsiveness. Required Qualifications & Experience: Degree in Computer Science, Software Engineering, or a related engineering discipline. Strong programming skills in Embedded C, with additional proficiency in C++ or Assembly as a plus. Solid understanding of computer architecture and hardware/software interaction. In-depth knowledge of operating systems (e.g. RTOS, AUTOSAR environments). Proven problem-solving and debugging capabilities in embedded systems. Experience in automotive software development and testing processes. Familiarity with AUTOSAR architecture and concepts. Experience working on safety-critical software projects (e.g. ISO 26262 environments). Desired Skills: Experience with Analog Devices' wBMS/BMS chipsets. Knowledge of battery management systems and their software frameworks. Familiarity with automotive communication protocols (e.g. CAN, LIN, FlexRay). Why Join Expleo? Be part of a collaborative and innovation-driven team. Work on industry-leading automotive projects that are shaping the future of mobility. Access continuous learning and career development support. Enjoy a flexible and inclusive work culture with global opportunities. How to Apply: Interested candidates are encouraged to submit their CV and a short cover letter outlining relevant experience to; Leanne Eaton, (url removed)
A small and rapidly growing Consultancy are looking for a Lead Data Scientist to join their expanding team - this is a hybrid role, requiring around 2-3 days per week either in the office or on client site, depending on requirements. Many of their clients are in the Public Sector, meaning you must be eligible for SC Clearance in order to apply for this role. In this role, you will lead on client projects and provide them with subject matter expertise - you'll proactively identify opportunities for data science to be used to help solve their unique challenges, and will action this appropriately. This will involve working with varied data sources, and designing and implementing various data science and machine learning techniques and algorithms, both on-premises and on the cloud, depending on what's best for each particular client. You'll communicate your findings and insight to the client, getting involved in presentations to uncover the "story" the data is telling, and therefore what action can be taken. This role would be well-suited to someone who has experience (or is keen to get experience) in a client-facing environment, and who enjoys the challenge of working on technically demanding and diverse projects. Requirements Experience leading on data science projects Experience working on cloud-based infrastructure e.g. Azure, AWS, GCP Extensive coding skills in languages such as Python and SQL Experience working with various forms of data (e.g. structured, unstructured; text, time-series and image) and appropriately modelling these Experience with various statistical-based techniques to uncover data insight Some experience with Data Engineering e.g. building data pipelines Experience developing machine learning algorithms Excellent communication and requirements gathering skills Eligibility for SC Clearance Benefits Salary up to 75,000 depending on experience Discretionary bonus 5% pension Training budget allowance Flexible working hours Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check. Tenth Revolution Group / Nigel Frank are the go-to recruiter for Data & AI roles in the UK, offering more opportunities across the country than any other. We're the proud sponsor and supporter of SQLBits, and the London Power BI User Group. To find out more and speak confidentially about your job search or hiring needs, please contact me directly at (url removed)
20/06/2025
Full time
A small and rapidly growing Consultancy are looking for a Lead Data Scientist to join their expanding team - this is a hybrid role, requiring around 2-3 days per week either in the office or on client site, depending on requirements. Many of their clients are in the Public Sector, meaning you must be eligible for SC Clearance in order to apply for this role. In this role, you will lead on client projects and provide them with subject matter expertise - you'll proactively identify opportunities for data science to be used to help solve their unique challenges, and will action this appropriately. This will involve working with varied data sources, and designing and implementing various data science and machine learning techniques and algorithms, both on-premises and on the cloud, depending on what's best for each particular client. You'll communicate your findings and insight to the client, getting involved in presentations to uncover the "story" the data is telling, and therefore what action can be taken. This role would be well-suited to someone who has experience (or is keen to get experience) in a client-facing environment, and who enjoys the challenge of working on technically demanding and diverse projects. Requirements Experience leading on data science projects Experience working on cloud-based infrastructure e.g. Azure, AWS, GCP Extensive coding skills in languages such as Python and SQL Experience working with various forms of data (e.g. structured, unstructured; text, time-series and image) and appropriately modelling these Experience with various statistical-based techniques to uncover data insight Some experience with Data Engineering e.g. building data pipelines Experience developing machine learning algorithms Excellent communication and requirements gathering skills Eligibility for SC Clearance Benefits Salary up to 75,000 depending on experience Discretionary bonus 5% pension Training budget allowance Flexible working hours Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check. Tenth Revolution Group / Nigel Frank are the go-to recruiter for Data & AI roles in the UK, offering more opportunities across the country than any other. We're the proud sponsor and supporter of SQLBits, and the London Power BI User Group. To find out more and speak confidentially about your job search or hiring needs, please contact me directly at (url removed)
My market leading client has a superb new opening for an Audio Embedded Software Engineer to join them on a permanent basis. This role is working heavily remote with occasional visits to their UK office. Due to contractual reasons, candidates must be based in the UK. Candidates must have at least 5 years proven C++ experience engineering software through the full software development life cycle. Candidates must have the ability to design software and implement design patterns. Day-to-day you will be engineering embedded software for high-speed audio interfaces. Previous experience handling real-time audio is essential. Salary to 65,000, dependent on experience. embedded software engineer, software developer, C++, uml, machine learning, RTOS, firmware engineer, firmware developer, embedded c, music, DSP, digital signal processing, audio, remote working, embedded software engineer, software developer, C++, uml, machine learning, RTOS, firmware engineer, firmware developer, embedded c, music, audio, remote working, DSP, digital signal processing g2 Recruitment are committed to equality of opportunity for all applications from individuals are encouraged regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships or any other characteristic protected by law.
20/06/2025
Full time
My market leading client has a superb new opening for an Audio Embedded Software Engineer to join them on a permanent basis. This role is working heavily remote with occasional visits to their UK office. Due to contractual reasons, candidates must be based in the UK. Candidates must have at least 5 years proven C++ experience engineering software through the full software development life cycle. Candidates must have the ability to design software and implement design patterns. Day-to-day you will be engineering embedded software for high-speed audio interfaces. Previous experience handling real-time audio is essential. Salary to 65,000, dependent on experience. embedded software engineer, software developer, C++, uml, machine learning, RTOS, firmware engineer, firmware developer, embedded c, music, DSP, digital signal processing, audio, remote working, embedded software engineer, software developer, C++, uml, machine learning, RTOS, firmware engineer, firmware developer, embedded c, music, audio, remote working, DSP, digital signal processing g2 Recruitment are committed to equality of opportunity for all applications from individuals are encouraged regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships or any other characteristic protected by law.
Job Title: Machine Learning Engineer Location: London (1 days per week onsite) - Flexible Salary: 45,000 DOE + Benefits Our Data Analytics business continues to grow and we are now looking for an experienced and technical Machine Learning (ML) Engineer to join one our offices with hybrid or remote UK working. This is an exciting role and would most likely suit someone with previous experience in a similar role where they have gained knowledge and experience of designing, building, optimising, deploying and managing business-critical machine learning models using Azure ML in Production environments. You must have good technical knowledge of Phyton, SQL, CI/CD and familiar with Power BI. A FTSE 250 company, they combine expertise and insight with advanced technology and analytics to address the needs of over 1,400 schemes and their sponsoring employers on an ongoing and project basis. We undertake administration for over one million members and provide advisory services to schemes and corporate sponsors in respect of schemes of all sizes, including 88 with assets over 1bn. We also provide wider ranging support to insurance companies in the life and bulk annuities sector. The Team The client is a specialist and multi-disciplinary team consisting of actuaries, data scientist and developers. Our role in this mission is to pioneer advancements in the field of pensions and beyond, leveraging state-of-the-art technology to extract valuable and timely insights from data. This enables the consultant to better advise Trustees and Corporate clients on a wide range of actuarial-related areas. The Role As a Machine Learning Engineer you will: Model development. Work collaboratively with actuarial analysts to develop machine learning and statistical models to predict outcomes, related to pension schemes, such as life expectancy, default risk, or investment returns. Identify appropriate machine learning algorithms and apply them to enhance predictions, automate decision-making processes, and improve client offerings. Machine Learning Operations. Responsible for designing, deploying, maintaining and refining statistical and machine learning models using Azure ML. Optimize model performance and computational efficiency. Ensure that applications run smoothly and handle large-scare data efficiently. Implement and maintain monitoring of model drifts, data-quality alerts, scheduled r-training pipelines. Data Management and Preprocessing. Collect, clean and preprocess large datasets to facilitate analysis and model training. Implement data pipelines and ETL processes to ensure data availability and quality. Software Development. Write clean, efficient and scalable code in Python. Utilize CI/CD practices for version control, testing and code review. Work closely with actuarial analysts, actuarial modelling team (AMT) and other colleagues to integrate data science findings into practical advice and strategies. Stay abreast of new trends and technologies in Data Science technologies and pensions to identify opportunities for innovation. Provide training and support to other team members on using machine learning tools and understanding analytical techniques. Interpret and explain machine learning concepts and findings to other members of the analytics team and non-technical stakeholders. Your profile Essential Criteria Previous experience in designing, building, optimising, deploying and managing business-critical machine learning models using Azure ML in Production environments. Experience in data wrangling using Python, SQL and ADF. Experience in CI/CD and DevOps/MLOps and version control. Familiarity with data visualization and reporting tools, ideally PowerBI. Good written and verbal communication and interpersonal skills. Ability to convey technical concepts to non-technical stakeholders. Experience in the pensions or similar regulated financial services industry is highly desirable. Experience in working within a multidisciplinary team would be beneficial. We offer an attractive reward package, typical benefits can include: Competitive salary Participation in annual discretionary Bonus Scheme 25 days holiday plus flexibility to buy or sell holiday Flexible Bank holidays Pension scheme, matching contribution structure Healthcare cash plan Flexible Benefits Scheme to support you in and out of work, helping you look after you and your family covering Security & Protection, Health & Wellbeing, Lifestyle Life Assurance cover, four times basic salary Rewards (offers High Street discounts and savings from retailers and services providers as well as offers available via phone) Employee Assistance Programme for you and your household Access to a digital GP service Paid volunteering day when participating in Company organised events Staff referral scheme when you introduce a friend In Technology Group Ltd is acting as an Employment Agency in relation to this vacancy.
20/06/2025
Full time
Job Title: Machine Learning Engineer Location: London (1 days per week onsite) - Flexible Salary: 45,000 DOE + Benefits Our Data Analytics business continues to grow and we are now looking for an experienced and technical Machine Learning (ML) Engineer to join one our offices with hybrid or remote UK working. This is an exciting role and would most likely suit someone with previous experience in a similar role where they have gained knowledge and experience of designing, building, optimising, deploying and managing business-critical machine learning models using Azure ML in Production environments. You must have good technical knowledge of Phyton, SQL, CI/CD and familiar with Power BI. A FTSE 250 company, they combine expertise and insight with advanced technology and analytics to address the needs of over 1,400 schemes and their sponsoring employers on an ongoing and project basis. We undertake administration for over one million members and provide advisory services to schemes and corporate sponsors in respect of schemes of all sizes, including 88 with assets over 1bn. We also provide wider ranging support to insurance companies in the life and bulk annuities sector. The Team The client is a specialist and multi-disciplinary team consisting of actuaries, data scientist and developers. Our role in this mission is to pioneer advancements in the field of pensions and beyond, leveraging state-of-the-art technology to extract valuable and timely insights from data. This enables the consultant to better advise Trustees and Corporate clients on a wide range of actuarial-related areas. The Role As a Machine Learning Engineer you will: Model development. Work collaboratively with actuarial analysts to develop machine learning and statistical models to predict outcomes, related to pension schemes, such as life expectancy, default risk, or investment returns. Identify appropriate machine learning algorithms and apply them to enhance predictions, automate decision-making processes, and improve client offerings. Machine Learning Operations. Responsible for designing, deploying, maintaining and refining statistical and machine learning models using Azure ML. Optimize model performance and computational efficiency. Ensure that applications run smoothly and handle large-scare data efficiently. Implement and maintain monitoring of model drifts, data-quality alerts, scheduled r-training pipelines. Data Management and Preprocessing. Collect, clean and preprocess large datasets to facilitate analysis and model training. Implement data pipelines and ETL processes to ensure data availability and quality. Software Development. Write clean, efficient and scalable code in Python. Utilize CI/CD practices for version control, testing and code review. Work closely with actuarial analysts, actuarial modelling team (AMT) and other colleagues to integrate data science findings into practical advice and strategies. Stay abreast of new trends and technologies in Data Science technologies and pensions to identify opportunities for innovation. Provide training and support to other team members on using machine learning tools and understanding analytical techniques. Interpret and explain machine learning concepts and findings to other members of the analytics team and non-technical stakeholders. Your profile Essential Criteria Previous experience in designing, building, optimising, deploying and managing business-critical machine learning models using Azure ML in Production environments. Experience in data wrangling using Python, SQL and ADF. Experience in CI/CD and DevOps/MLOps and version control. Familiarity with data visualization and reporting tools, ideally PowerBI. Good written and verbal communication and interpersonal skills. Ability to convey technical concepts to non-technical stakeholders. Experience in the pensions or similar regulated financial services industry is highly desirable. Experience in working within a multidisciplinary team would be beneficial. We offer an attractive reward package, typical benefits can include: Competitive salary Participation in annual discretionary Bonus Scheme 25 days holiday plus flexibility to buy or sell holiday Flexible Bank holidays Pension scheme, matching contribution structure Healthcare cash plan Flexible Benefits Scheme to support you in and out of work, helping you look after you and your family covering Security & Protection, Health & Wellbeing, Lifestyle Life Assurance cover, four times basic salary Rewards (offers High Street discounts and savings from retailers and services providers as well as offers available via phone) Employee Assistance Programme for you and your household Access to a digital GP service Paid volunteering day when participating in Company organised events Staff referral scheme when you introduce a friend In Technology Group Ltd is acting as an Employment Agency in relation to this vacancy.
The Francis Crick have an exciting opportunity available for a Software Engineer ? to join one of the world s leading research Institutes at a crucial time in its evolution, and play a definitive role in shaping it for the future. You will join us on a full time, permanent basis, and in return, you will receive a competitive salary from £48,600 with benefits, subject to skills and experience. Working pattern: Monday Friday. This is a full-time, permanent position on Crick terms and conditions of employment. The Francis Crick Institute is Europe s largest biomedical research institute under one roof. Our world-class scientists and staff collaborate on vital research to help prevent, diagnose and treat illnesses such as cancer, heart disease, infectious diseases and neurodegenerative conditions. The Software Engineer role: The Software Engineering and AI department within the Francis Crick Institute is responsible for delivering science-based technology services to the Crick. This role will report to the Head of Software Engineering and AI, and will play leading role in the support and development of scientific research projects, as well as developing and supporting operational applications. As a Software Engineer at the Crick, you will: Design and develop high-quality, maintainable software to meet project needs and deadlines (including the interpretation of project requirements and technical specifications across multiple research and operational domains) Collaborating effectively with internal and external partners, building solid working relationships. Peer review and testing Work closely with colleagues to maintain quality standards and provide code reviews Help establish the feasibility of technical proposals by developing prototypes and experimenting with new technology/methods Ensure the security of software and applications - by developing in accordance with established security principles As our Software Engineer, you will bring: Strong command of Python and related frameworks and libraries with good experience of at least one other language (C++, Java, Julia, R, Matlab, JS frameworks) Excellent understanding of machine learning theory and related mathematical principles Practical MLOps experience of training and tuning deep learning models and evaluating performance (e.g working with PyTorch to build deep learning pipelines) Experience with large language models including; RAG, prompt engineering, and finetuning techniques as well as model API integration Experience across a range of deployment environments including public cloud and high-performance computing clusters Practical experience creating user-friendly interfaces for applied machine learning applications What will you receive? At the Francis Crick Institute, we value our team members and are proud to offer an extensive range of benefits to support their well-being and development: Visas: Applicants for this role will be eligible for sponsorship to work in the UK Generous Leave : 28 days of annual leave, plus three additional days over Christmas and bank holidays. Pension Scheme : Defined contribution pension with employer contributions of up to 16%. Health & Well-being : 24/7 GP consultation services. Occupational health services and mental health support programs. Eye care vouchers and discounted healthcare plans. Work-Life Balance : Back-up care for dependents. Childcare support allowance. Annual leave purchase options. Crick Networks offering diverse groups support, community and inclusive social events. Perks : Discounted gym memberships, bike-to-work scheme, and shopping discounts. Subsidised on-site restaurant and social spaces for team interaction. Closing date: 6th July 2025 If you feel you have the skills and experience to become our Software Engineer, please click apply today, we d love to hear from you! Please note, this role may be taken down before the closing date if a suitable candidate is found, therefore we advise that you apply for the role as soon as you can All offers of employment are subject to successful security screening and continuous eligibility to work in the United Kingdom.
20/06/2025
Full time
The Francis Crick have an exciting opportunity available for a Software Engineer ? to join one of the world s leading research Institutes at a crucial time in its evolution, and play a definitive role in shaping it for the future. You will join us on a full time, permanent basis, and in return, you will receive a competitive salary from £48,600 with benefits, subject to skills and experience. Working pattern: Monday Friday. This is a full-time, permanent position on Crick terms and conditions of employment. The Francis Crick Institute is Europe s largest biomedical research institute under one roof. Our world-class scientists and staff collaborate on vital research to help prevent, diagnose and treat illnesses such as cancer, heart disease, infectious diseases and neurodegenerative conditions. The Software Engineer role: The Software Engineering and AI department within the Francis Crick Institute is responsible for delivering science-based technology services to the Crick. This role will report to the Head of Software Engineering and AI, and will play leading role in the support and development of scientific research projects, as well as developing and supporting operational applications. As a Software Engineer at the Crick, you will: Design and develop high-quality, maintainable software to meet project needs and deadlines (including the interpretation of project requirements and technical specifications across multiple research and operational domains) Collaborating effectively with internal and external partners, building solid working relationships. Peer review and testing Work closely with colleagues to maintain quality standards and provide code reviews Help establish the feasibility of technical proposals by developing prototypes and experimenting with new technology/methods Ensure the security of software and applications - by developing in accordance with established security principles As our Software Engineer, you will bring: Strong command of Python and related frameworks and libraries with good experience of at least one other language (C++, Java, Julia, R, Matlab, JS frameworks) Excellent understanding of machine learning theory and related mathematical principles Practical MLOps experience of training and tuning deep learning models and evaluating performance (e.g working with PyTorch to build deep learning pipelines) Experience with large language models including; RAG, prompt engineering, and finetuning techniques as well as model API integration Experience across a range of deployment environments including public cloud and high-performance computing clusters Practical experience creating user-friendly interfaces for applied machine learning applications What will you receive? At the Francis Crick Institute, we value our team members and are proud to offer an extensive range of benefits to support their well-being and development: Visas: Applicants for this role will be eligible for sponsorship to work in the UK Generous Leave : 28 days of annual leave, plus three additional days over Christmas and bank holidays. Pension Scheme : Defined contribution pension with employer contributions of up to 16%. Health & Well-being : 24/7 GP consultation services. Occupational health services and mental health support programs. Eye care vouchers and discounted healthcare plans. Work-Life Balance : Back-up care for dependents. Childcare support allowance. Annual leave purchase options. Crick Networks offering diverse groups support, community and inclusive social events. Perks : Discounted gym memberships, bike-to-work scheme, and shopping discounts. Subsidised on-site restaurant and social spaces for team interaction. Closing date: 6th July 2025 If you feel you have the skills and experience to become our Software Engineer, please click apply today, we d love to hear from you! Please note, this role may be taken down before the closing date if a suitable candidate is found, therefore we advise that you apply for the role as soon as you can All offers of employment are subject to successful security screening and continuous eligibility to work in the United Kingdom.
Software Development Team Lead Software Development Team Lead required by a leading global Cloud Technology company based in Bracknell. The company are working on cutting-edge technology including AI and propensity modelling. The Software Development Team Lead will be responsible for the software engineering output of the team. This will be a leadership role however the successful Software Development Team Lead will also be expected to be hands-on writing code when required, as well as designing architecture. Therefore the successful candidate will have strong hands-on coding knowledge. The company are happy to consider a Senior/Lead Developer who is looking to step up into more of a leadership role. They operate on a hybrid model which involves 3 days in the office and 2 days from home. Essential experience: Degree in STEM subject from a Russell Group or Red Brick University Experience leading software development teams Knowledge of either C# or React Strong experience with SQL Source control, ideally Git Agile Any experience in the following would be advantageous: Latest versions of .NET AI, Machine Learning JavaScript, TypeScript and associated frameworks Containers, Docker, Kubernetes NoSQL Test tools such as xUnit, Cypress, Selenium, Jest, SoapUI This is an exciting opportunity to join a rapidly expanding company using the latest tools and technologies. If you are looking for a role of this nature, please contact (url removed) or call (phone number removed). Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
20/06/2025
Full time
Software Development Team Lead Software Development Team Lead required by a leading global Cloud Technology company based in Bracknell. The company are working on cutting-edge technology including AI and propensity modelling. The Software Development Team Lead will be responsible for the software engineering output of the team. This will be a leadership role however the successful Software Development Team Lead will also be expected to be hands-on writing code when required, as well as designing architecture. Therefore the successful candidate will have strong hands-on coding knowledge. The company are happy to consider a Senior/Lead Developer who is looking to step up into more of a leadership role. They operate on a hybrid model which involves 3 days in the office and 2 days from home. Essential experience: Degree in STEM subject from a Russell Group or Red Brick University Experience leading software development teams Knowledge of either C# or React Strong experience with SQL Source control, ideally Git Agile Any experience in the following would be advantageous: Latest versions of .NET AI, Machine Learning JavaScript, TypeScript and associated frameworks Containers, Docker, Kubernetes NoSQL Test tools such as xUnit, Cypress, Selenium, Jest, SoapUI This is an exciting opportunity to join a rapidly expanding company using the latest tools and technologies. If you are looking for a role of this nature, please contact (url removed) or call (phone number removed). Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
Data Warehouse Engineer Newark, Full Time, Permanent, Hybrid working available Salary up to 38,000 per annum Our award-winning client, based in Newark, Nottinghamshire is seeking a highly skilled Data Warehouse Engineer to join their Data and Analytics team. This is a full time, permanent position with the opportunity for hybrid working. THE ROLE As a Data Warehouse Engineer , you will have the following responsibilities: Design, develop, and maintain scalable data warehouse architecture and solutions to consolidate data from multiple sources. Build and optimize ETL pipelines using modern tools, automation and best practices. Develop and maintain dashboards, visualizations, and reports using Power BI. Collaborate with business stakeholders to gather requirements, translate them into data solutions, and deliver actionable insights. Ensure data integrity, quality, consistency and security across the warehouse and reporting environments. Optimize performance of queries and data loads in the warehouse environment. Troubleshoot and optimize models, efficient performance and maintain documentation of data models, data flows, and reporting solutions. Leverage AI and machine learning tools to enhance reporting capabilities, automate data insights, and drive predictive analytics. Participate in data governance and contribute to the continuous improvement of data architecture and standards. THE CANDIDATE The ideal Data Warehouse Engineer will possess the following skills: 2+ years of experience in data warehousing, ETL development, and business intelligence reporting. Strong experience with Power BI, including DAX, Power Query, and dashboard development. Proficiency in SQL and data modelling techniques. Strong analytical and problem-solving skills with an ability to work in agile development environment independently. Experience with data warehouse platforms (e.g., Snowflake, Azure Synapse, Redshift, BigQuery, or similar). Ability to work independently and manage multiple projects simultaneously. Excellent communication and collaboration skills. THE BENEFITS As a Data Warehouse Engineer , you will receive the following benefits: Paid volunteer day. Onsite gym. Ongoing learning and development. Bonus paid day off for your birthday. Annual wellbeing budget. Increasing annual leave. Company sick pay. Thank you for your interest in this vacancy and good luck with your application. If you have not heard from a member of the Future Prospects team within 7 days from your application, please assume that your application has not been successful on this occasion. Unfortunately, due to the high volume of applications we receive, we are unable to provide individual feedback. The services of Future Prospects are those of an Employment Agency.
20/06/2025
Full time
Data Warehouse Engineer Newark, Full Time, Permanent, Hybrid working available Salary up to 38,000 per annum Our award-winning client, based in Newark, Nottinghamshire is seeking a highly skilled Data Warehouse Engineer to join their Data and Analytics team. This is a full time, permanent position with the opportunity for hybrid working. THE ROLE As a Data Warehouse Engineer , you will have the following responsibilities: Design, develop, and maintain scalable data warehouse architecture and solutions to consolidate data from multiple sources. Build and optimize ETL pipelines using modern tools, automation and best practices. Develop and maintain dashboards, visualizations, and reports using Power BI. Collaborate with business stakeholders to gather requirements, translate them into data solutions, and deliver actionable insights. Ensure data integrity, quality, consistency and security across the warehouse and reporting environments. Optimize performance of queries and data loads in the warehouse environment. Troubleshoot and optimize models, efficient performance and maintain documentation of data models, data flows, and reporting solutions. Leverage AI and machine learning tools to enhance reporting capabilities, automate data insights, and drive predictive analytics. Participate in data governance and contribute to the continuous improvement of data architecture and standards. THE CANDIDATE The ideal Data Warehouse Engineer will possess the following skills: 2+ years of experience in data warehousing, ETL development, and business intelligence reporting. Strong experience with Power BI, including DAX, Power Query, and dashboard development. Proficiency in SQL and data modelling techniques. Strong analytical and problem-solving skills with an ability to work in agile development environment independently. Experience with data warehouse platforms (e.g., Snowflake, Azure Synapse, Redshift, BigQuery, or similar). Ability to work independently and manage multiple projects simultaneously. Excellent communication and collaboration skills. THE BENEFITS As a Data Warehouse Engineer , you will receive the following benefits: Paid volunteer day. Onsite gym. Ongoing learning and development. Bonus paid day off for your birthday. Annual wellbeing budget. Increasing annual leave. Company sick pay. Thank you for your interest in this vacancy and good luck with your application. If you have not heard from a member of the Future Prospects team within 7 days from your application, please assume that your application has not been successful on this occasion. Unfortunately, due to the high volume of applications we receive, we are unable to provide individual feedback. The services of Future Prospects are those of an Employment Agency.
Radar Software Engineer Location: Cambridge Type: Permanent - Hybrid working (3 days office/ 2 days remote) Salary: Up to £50,000 depending on experience About the Company Tech Connect Group is working with an established Aero/ Defence Technology SME based in the wider Cambridge area. They are a leading designer and manufacturer of radar systems whose patented and industry-leading radar technologies are deployed in over 35 countries for applications including border surveillance, perimeter security, and infrastructure monitoring. The Opportunity Key Responsibilities: Design and develop software for the company's radar systems. Create software interfaces for integration with third-party surveillance and security systems. Enhance and improve software functionality with a focus on user experience. Required Qualifications & Skills Proficient in C++ (Essential) Strong understanding and hands-on experience with object-oriented software design. Analytical and creative problem-solving abilities. Comfortable working directly with end customers and users. Preferred Qualifications & Experience Degree in software engineering, computer science, or an engineering/science discipline with a software focus. Experience developing command and control (C2) software for security or defence applications. Familiarity with Geographic Information System (GIS) data and its manipulation. Experience working with SQL databases. Knowledge of user interface (UI) design and user experience (UX) best practices. Understanding of real-time software development principles. Experience with embedded Linux systems and embedded software development. Exposure to machine learning techniques and classification methodologies. Familiarity with Python or similar scripting languages. Strong mathematical and statistical analysis skills. Valid driver's licence and passport for occasional business travel related to projects.
20/06/2025
Full time
Radar Software Engineer Location: Cambridge Type: Permanent - Hybrid working (3 days office/ 2 days remote) Salary: Up to £50,000 depending on experience About the Company Tech Connect Group is working with an established Aero/ Defence Technology SME based in the wider Cambridge area. They are a leading designer and manufacturer of radar systems whose patented and industry-leading radar technologies are deployed in over 35 countries for applications including border surveillance, perimeter security, and infrastructure monitoring. The Opportunity Key Responsibilities: Design and develop software for the company's radar systems. Create software interfaces for integration with third-party surveillance and security systems. Enhance and improve software functionality with a focus on user experience. Required Qualifications & Skills Proficient in C++ (Essential) Strong understanding and hands-on experience with object-oriented software design. Analytical and creative problem-solving abilities. Comfortable working directly with end customers and users. Preferred Qualifications & Experience Degree in software engineering, computer science, or an engineering/science discipline with a software focus. Experience developing command and control (C2) software for security or defence applications. Familiarity with Geographic Information System (GIS) data and its manipulation. Experience working with SQL databases. Knowledge of user interface (UI) design and user experience (UX) best practices. Understanding of real-time software development principles. Experience with embedded Linux systems and embedded software development. Exposure to machine learning techniques and classification methodologies. Familiarity with Python or similar scripting languages. Strong mathematical and statistical analysis skills. Valid driver's licence and passport for occasional business travel related to projects.
ML Ops Engineer - Perm - London Salary: £40,000 - £45,000 pa Remote or Hybrid if closer to London We are on the look out for an experienced Machine Learning Operations Enginnner (ML Ops Engineer) to join this growing team who have been awarded Actuarial Software of the Year. The role in this mission is to pioneer advancements in the field of pensions and beyond, leveraging state-of-the-art technology to extract valuable and timely insights from data. This enables the consultant to better advise Trustees and Corporate clients on a wide range of actuarial-related areas. ML Ops Engineer Main Duties: Work collaboratively with actuarial analysts to develop machine learning and statistical models to predict outcomes, related to pension schemes, such as life expectancy, default risk, or investment returns. Identify appropriate machine learning algorithms and apply them to enhance predictions, automate decision-making processes, and improve client offerings. Responsible for designing, deploying, maintaining and refining statistical and machine learning models using Azure ML. Optimize model performance and computational efficiency. Ensure that applications run smoothly and handle large-scare data efficiently. Implement and maintain monitoring of model drifts, data-quality alerts, scheduled r-training pipelines. Collect, clean and preprocess large datasets to facilitate analysis and model training. Implement data pipelines and ETL processes to ensure data availability and quality. Write clean, efficient and scalable code in Python. Utilize CI/CD practices for version control, testing and code review. ML Ops Engineer Skills Required: Experience in designing, building, optimising, deploying and managing business-critical machine learning models using Azure ML in Production environments. Experience in data wrangling using Python, SQL and ADF Experience in CI/CD and DevOps/MLOps and version control Familiarity with data visualization and reporting tools, ideally PowerBI Experience in the pensions or similar regulated financial services industry Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted. Proactive Appointments Limited operates as an employment agency and employment business and is an equal opportunities organisation We take our obligations to protect your personal data very seriously. Any information provided to us will be processed as detailed in our Privacy Notice, a copy of which can be found on our website
20/06/2025
Full time
ML Ops Engineer - Perm - London Salary: £40,000 - £45,000 pa Remote or Hybrid if closer to London We are on the look out for an experienced Machine Learning Operations Enginnner (ML Ops Engineer) to join this growing team who have been awarded Actuarial Software of the Year. The role in this mission is to pioneer advancements in the field of pensions and beyond, leveraging state-of-the-art technology to extract valuable and timely insights from data. This enables the consultant to better advise Trustees and Corporate clients on a wide range of actuarial-related areas. ML Ops Engineer Main Duties: Work collaboratively with actuarial analysts to develop machine learning and statistical models to predict outcomes, related to pension schemes, such as life expectancy, default risk, or investment returns. Identify appropriate machine learning algorithms and apply them to enhance predictions, automate decision-making processes, and improve client offerings. Responsible for designing, deploying, maintaining and refining statistical and machine learning models using Azure ML. Optimize model performance and computational efficiency. Ensure that applications run smoothly and handle large-scare data efficiently. Implement and maintain monitoring of model drifts, data-quality alerts, scheduled r-training pipelines. Collect, clean and preprocess large datasets to facilitate analysis and model training. Implement data pipelines and ETL processes to ensure data availability and quality. Write clean, efficient and scalable code in Python. Utilize CI/CD practices for version control, testing and code review. ML Ops Engineer Skills Required: Experience in designing, building, optimising, deploying and managing business-critical machine learning models using Azure ML in Production environments. Experience in data wrangling using Python, SQL and ADF Experience in CI/CD and DevOps/MLOps and version control Familiarity with data visualization and reporting tools, ideally PowerBI Experience in the pensions or similar regulated financial services industry Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted. Proactive Appointments Limited operates as an employment agency and employment business and is an equal opportunities organisation We take our obligations to protect your personal data very seriously. Any information provided to us will be processed as detailed in our Privacy Notice, a copy of which can be found on our website
Job Title: AI Engineer Job Description We are seeking a highly skilled and innovation-focused Generative & Agentic AI Engineer to join our AI engineering team. This role is central to designing, developing, and iterating on fast-paced prototypes that explore the latest in LLMs, autonomous agents, semantic search, and reasoning workflows. The ideal candidate is proficient in Python, experienced in building multi-step intelligent systems, and comfortable working across UI, APIs, cloud AI platforms, and observability tools. Responsibilities Rapidly build and iterate on LLM- and agent-based prototypes for various use cases, including chatbots, copilots, and A2A task agents. Implement agentic workflows, multi-step reasoning pipelines, and memory management using frameworks such as LangChain, CrewAI, and Autogen. Engineer and tune prompts to enhance the performance and reliability of generative tasks. Design RAG systems using vector databases like Pinecone, Chroma, and PosgreSQL for contextual retrieval. Incorporate semantic search and embedding strategies for more relevant and grounded LLM responses. Utilize Guardrails to implement applications that adhere to responsible AI guidelines. Optimize model performance for latency, throughput, and cost-efficiency. Implement short-term and long-term memory modules to support persistent agent behaviours. Use cloud platforms such as Amazon Bedrock, Google Vertex AI, and Azure AI Studio for model orchestration and deployment. Build and integrate UI prototypes using tools like React for demoable outputs. Develop robust API integrations to connect AI agents with internal and external services and data sources. Use SQL to query structured databases and integrate with RAG or knowledge ingestion pipelines. Essential Skills Proficiency in Python programming. Experience in building multi-step intelligent systems. Knowledge of machine learning and artificial intelligence. Familiarity with frameworks like LangChain and CrewAI. Additional Skills & Qualifications Experience with agent collaboration (A2A) or multi-agent task routing systems. Familiarity with MCP tools or advanced model configuration systems. Understanding of prompt injection prevention, ethical AI, and safety frameworks. Background in designing reusable AI components for experimentation and scaling. Why Work Here? Join a dynamic and innovative team that values creativity and cutting-edge technology. Enjoy a collaborative work environment that fosters professional growth and development. Embrace the opportunity to work on pioneering projects that push the boundaries of AI engineering. Work Environment Work in a technologically advanced environment with access to state-of-the-art tools and platforms. Engage in flexible working hours and benefit from a supportive and inclusive atmosphere that encourages innovation and excellence. Job Type & Location Hybrid working, this is a Contract position based out of Liverpool, United Kingdom. Location Liverpool, UK Rate/Salary .00 GBP Daily Trading as TEKsystems. Allegis Group Limited, Bracknell, RG12 1RT, United Kingdom. No Allegis Group Limited operates as an Employment Business and Employment Agency as set out in the Conduct of Employment Agencies and Employment Businesses Regulations 2003. TEKsystems is a company within the Allegis Group network of companies (collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at our website. To access our Online Privacy Notice, which explains what information we may collect, use, share, and store about you, and describes your rights and choices about this, please go our website. We are part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area subject to the protections described in the Allegis Group Online Privacy Notice. We store personal data in the UK, EEA, Switzerland and the USA. If you would like to exercise your privacy rights, please visit the "Contacting Us" section of our Online Privacy Notice on our website for details on how to contact us. To protect your privacy and security, we may take steps to verify your identity, such as a password and user ID if there is an account associated with your request, or identifying information such as your address or date of birth, before proceeding with your request. commitments under the UK Data Protection Act, EU-U.S. Privacy Shield or the Swiss-U.S. Privacy Shield.
20/06/2025
Contractor
Job Title: AI Engineer Job Description We are seeking a highly skilled and innovation-focused Generative & Agentic AI Engineer to join our AI engineering team. This role is central to designing, developing, and iterating on fast-paced prototypes that explore the latest in LLMs, autonomous agents, semantic search, and reasoning workflows. The ideal candidate is proficient in Python, experienced in building multi-step intelligent systems, and comfortable working across UI, APIs, cloud AI platforms, and observability tools. Responsibilities Rapidly build and iterate on LLM- and agent-based prototypes for various use cases, including chatbots, copilots, and A2A task agents. Implement agentic workflows, multi-step reasoning pipelines, and memory management using frameworks such as LangChain, CrewAI, and Autogen. Engineer and tune prompts to enhance the performance and reliability of generative tasks. Design RAG systems using vector databases like Pinecone, Chroma, and PosgreSQL for contextual retrieval. Incorporate semantic search and embedding strategies for more relevant and grounded LLM responses. Utilize Guardrails to implement applications that adhere to responsible AI guidelines. Optimize model performance for latency, throughput, and cost-efficiency. Implement short-term and long-term memory modules to support persistent agent behaviours. Use cloud platforms such as Amazon Bedrock, Google Vertex AI, and Azure AI Studio for model orchestration and deployment. Build and integrate UI prototypes using tools like React for demoable outputs. Develop robust API integrations to connect AI agents with internal and external services and data sources. Use SQL to query structured databases and integrate with RAG or knowledge ingestion pipelines. Essential Skills Proficiency in Python programming. Experience in building multi-step intelligent systems. Knowledge of machine learning and artificial intelligence. Familiarity with frameworks like LangChain and CrewAI. Additional Skills & Qualifications Experience with agent collaboration (A2A) or multi-agent task routing systems. Familiarity with MCP tools or advanced model configuration systems. Understanding of prompt injection prevention, ethical AI, and safety frameworks. Background in designing reusable AI components for experimentation and scaling. Why Work Here? Join a dynamic and innovative team that values creativity and cutting-edge technology. Enjoy a collaborative work environment that fosters professional growth and development. Embrace the opportunity to work on pioneering projects that push the boundaries of AI engineering. Work Environment Work in a technologically advanced environment with access to state-of-the-art tools and platforms. Engage in flexible working hours and benefit from a supportive and inclusive atmosphere that encourages innovation and excellence. Job Type & Location Hybrid working, this is a Contract position based out of Liverpool, United Kingdom. Location Liverpool, UK Rate/Salary .00 GBP Daily Trading as TEKsystems. Allegis Group Limited, Bracknell, RG12 1RT, United Kingdom. No Allegis Group Limited operates as an Employment Business and Employment Agency as set out in the Conduct of Employment Agencies and Employment Businesses Regulations 2003. TEKsystems is a company within the Allegis Group network of companies (collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at our website. To access our Online Privacy Notice, which explains what information we may collect, use, share, and store about you, and describes your rights and choices about this, please go our website. We are part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area subject to the protections described in the Allegis Group Online Privacy Notice. We store personal data in the UK, EEA, Switzerland and the USA. If you would like to exercise your privacy rights, please visit the "Contacting Us" section of our Online Privacy Notice on our website for details on how to contact us. To protect your privacy and security, we may take steps to verify your identity, such as a password and user ID if there is an account associated with your request, or identifying information such as your address or date of birth, before proceeding with your request. commitments under the UK Data Protection Act, EU-U.S. Privacy Shield or the Swiss-U.S. Privacy Shield.
I'm working with a fantastic software company that's looking for a Principal Software Engineer to join their team. They've developed a powerful product that utilises data analytics and machine learning to optimise inventory data, built primarily on Java. This is a key role where you'll take ownership of the technical roadmap and manage solutions architecture, acting as a vital link between leadership and the engineering team. Job Title: Principal Software Engineer Location: Central London (Office Based) Salary: 80,000 - 95,000 Industry: Software/Data Analytics Requirements: Over 7 years of experience as a Full Stack Developer. Proven track record in leading product development and architecting solutions. Demonstrated expertise in scaling and managing production systems. Provides comprehensive technical development support, both broad and detailed. Highly proficient in: Python, Java, Spring, JavaScript, Vue, Elasticsearch, PostgreSQL, cloud computing (AWS, Azure), Terraform, ML, GitHub Actions, Jenkins, and Linux. Responsibilities: Own the technical roadmap , aligning it with the product strategy to achieve key business objectives. Architect and manage robust solutions and APIs . Deliver critical software engineering , with a focus on rapid prototyping. Inspire and mentor a highly motivated, polyglot on-site development team. Lead R&D initiatives and technical debt reduction , actively supporting team members. Facilitate and lead sprint retrospective routines , fostering continuous improvement. Drive the investigation and adoption of new technologies, tools, and processes to enhance product and solution delivery. If you are an highly experienced Full Stack Java Developer and have brilliant experience with Architecture and Roadmaps then Apply!
20/06/2025
Full time
I'm working with a fantastic software company that's looking for a Principal Software Engineer to join their team. They've developed a powerful product that utilises data analytics and machine learning to optimise inventory data, built primarily on Java. This is a key role where you'll take ownership of the technical roadmap and manage solutions architecture, acting as a vital link between leadership and the engineering team. Job Title: Principal Software Engineer Location: Central London (Office Based) Salary: 80,000 - 95,000 Industry: Software/Data Analytics Requirements: Over 7 years of experience as a Full Stack Developer. Proven track record in leading product development and architecting solutions. Demonstrated expertise in scaling and managing production systems. Provides comprehensive technical development support, both broad and detailed. Highly proficient in: Python, Java, Spring, JavaScript, Vue, Elasticsearch, PostgreSQL, cloud computing (AWS, Azure), Terraform, ML, GitHub Actions, Jenkins, and Linux. Responsibilities: Own the technical roadmap , aligning it with the product strategy to achieve key business objectives. Architect and manage robust solutions and APIs . Deliver critical software engineering , with a focus on rapid prototyping. Inspire and mentor a highly motivated, polyglot on-site development team. Lead R&D initiatives and technical debt reduction , actively supporting team members. Facilitate and lead sprint retrospective routines , fostering continuous improvement. Drive the investigation and adoption of new technologies, tools, and processes to enhance product and solution delivery. If you are an highly experienced Full Stack Java Developer and have brilliant experience with Architecture and Roadmaps then Apply!
AI Engineer Location: London, UK Company: Shivom Consultancy Ltd A bout Us We're a forward-thinking tech company on a mission to build intelligent, scalable solutions that solve real-world problems. Our team is made up of engineers, designers, and innovators who thrive on collaboration, experimentation, and continuous learning. Whether we're developing cutting-edge software, architecting cloud infrastructure, or launching user-centric products, we're united by a shared passion for impactful technology and clean, elegant code. We believe in autonomy with accountability, flexible work environments, and creating space for every team member to grow and lead. If you're excited by meaningful challenges and want to build things that matter, we'd love to meet you. Role Overview We're looking for a skilled and curious AI Engineer to join our growing team. In this role, you'll design, develop, and deploy machine learning models and AI-driven systems that power our products and services. You'll work closely with data scientists, software engineers, and product teams to bring intelligent features to life-whether that's building NLP pipelines, optimizing recommendation systems, or applying cutting-edge research to real-world challenges. This is a hands-on role where you'll contribute across the entire ML life cycle, from data preprocessing and model training to production deployment and performance tuning. If you're excited about solving complex problems with AI and thrive in a fast-paced, collaborative environment, we'd love to hear from you. Responsibilities: Model Development: Design, develop, and deploy AI and machine learning models to solve business challenges. Data Analysis: Work with large datasets to extract insights and train machine learning models. Algorithm Implementation: Implement and optimize algorithms for AI applications, ensuring efficiency and scalability. Research: Stay up-to-date with the latest advancements in AI and machine learning, and apply these to ongoing projects. Collaboration: Collaborate with data scientists, software engineers, and other stakeholders to integrate AI solutions into products and services. Testing and Validation: Test and validate AI models to ensure accuracy, robustness, and reliability. Deployment: Manage the deployment of AI models in production environments, monitoring performance and making necessary adjustments. Documentation: Document AI models, processes, and findings for future reference and reproducibility. Performance Monitoring: Continuously monitor and evaluate AI models to improve their performance over time. Innovation: Identify opportunities to innovate and improve existing AI solutions and processes. Essential criteria: Educational Background: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Experience: Minimum of 3 years of experience in AI engineering or a related role. Technical Skills: Proficiency in programming languages such as Python, R, or Java. Experience with AI frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn. Machine Learning Knowledge: Strong understanding of machine learning algorithms, neural networks, and deep learning techniques. Analytical Skills: Excellent analytical and problem-solving skills, with the ability to work with complex datasets. Communication Skills: Strong written and verbal communication skills, with the ability to explain AI concepts to non-technical stakeholders. Team Collaboration: Proven experience working in a collaborative, team-oriented environment. Project Management: Ability to manage multiple projects and meet deadlines effectively. Attention to Detail: High level of accuracy and attention to detail. Desired Criteria Advanced Expertise: Experience with deploying AI models in production environments and optimizing for scalability and performance. Innovative Mindset: Passion for staying up-to-date with the latest AI research and emerging technologies, and applying them creatively to solve business challenges. Data Engineering: Familiarity with data pipelines, ETL processes, and working knowledge of databases and big data technologies. Software Development Practices: Experience with version control (eg, Git), containerization (Docker), and CI/CD pipelines in an AI context. Domain Knowledge: Exposure to industry-specific applications of AI (eg, healthcare, finance, or E-commerce) is a plus. Mentorship: Ability and willingness to mentor junior engineers and contribute to a culture of continuous learning. Problem Framing: Strong skills in translating ambiguous business problems into clear AI-driven solutions. Adaptability: Comfortable working in a fast-paced, agile environment with evolving priorities. Ethical AI Awareness: Understanding of AI ethics, bias mitigation, and responsible AI deployment principles. Progression Opportunities As an AI Engineer, you'll have a well-supported growth path with opportunities to deepen your technical expertise and expand your impact across projects and teams. Depending on your interests, you can progress into more advanced roles such as Senior AI Engineer, AI Solutions Architect, Machine Learning Lead, or Technical Product Owner for AI initiatives. You'll be encouraged to take ownership of increasingly complex systems, contribute to strategic AI decisions, and mentor junior team members. We support certifications, attendance at industry events, and the freedom to explore new tools and approaches that shape the future of our AI capabilities. Company Culture Our culture is built on openness, learning, and shared purpose. We encourage collaboration across disciplines and believe diverse thinking leads to stronger, more innovative outcomes. Everyone here contributes to our direction, and we aim to make sure every voice is heard and valued. Benefits: Competitive salary Health and wellness benefits Professional development opportunities Collaborative and innovative work environment Application Process: Interested candidates are invited to submit their CV and cover letter to (see below) Shivom Consultancy Ltd is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
20/06/2025
Full time
AI Engineer Location: London, UK Company: Shivom Consultancy Ltd A bout Us We're a forward-thinking tech company on a mission to build intelligent, scalable solutions that solve real-world problems. Our team is made up of engineers, designers, and innovators who thrive on collaboration, experimentation, and continuous learning. Whether we're developing cutting-edge software, architecting cloud infrastructure, or launching user-centric products, we're united by a shared passion for impactful technology and clean, elegant code. We believe in autonomy with accountability, flexible work environments, and creating space for every team member to grow and lead. If you're excited by meaningful challenges and want to build things that matter, we'd love to meet you. Role Overview We're looking for a skilled and curious AI Engineer to join our growing team. In this role, you'll design, develop, and deploy machine learning models and AI-driven systems that power our products and services. You'll work closely with data scientists, software engineers, and product teams to bring intelligent features to life-whether that's building NLP pipelines, optimizing recommendation systems, or applying cutting-edge research to real-world challenges. This is a hands-on role where you'll contribute across the entire ML life cycle, from data preprocessing and model training to production deployment and performance tuning. If you're excited about solving complex problems with AI and thrive in a fast-paced, collaborative environment, we'd love to hear from you. Responsibilities: Model Development: Design, develop, and deploy AI and machine learning models to solve business challenges. Data Analysis: Work with large datasets to extract insights and train machine learning models. Algorithm Implementation: Implement and optimize algorithms for AI applications, ensuring efficiency and scalability. Research: Stay up-to-date with the latest advancements in AI and machine learning, and apply these to ongoing projects. Collaboration: Collaborate with data scientists, software engineers, and other stakeholders to integrate AI solutions into products and services. Testing and Validation: Test and validate AI models to ensure accuracy, robustness, and reliability. Deployment: Manage the deployment of AI models in production environments, monitoring performance and making necessary adjustments. Documentation: Document AI models, processes, and findings for future reference and reproducibility. Performance Monitoring: Continuously monitor and evaluate AI models to improve their performance over time. Innovation: Identify opportunities to innovate and improve existing AI solutions and processes. Essential criteria: Educational Background: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Experience: Minimum of 3 years of experience in AI engineering or a related role. Technical Skills: Proficiency in programming languages such as Python, R, or Java. Experience with AI frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn. Machine Learning Knowledge: Strong understanding of machine learning algorithms, neural networks, and deep learning techniques. Analytical Skills: Excellent analytical and problem-solving skills, with the ability to work with complex datasets. Communication Skills: Strong written and verbal communication skills, with the ability to explain AI concepts to non-technical stakeholders. Team Collaboration: Proven experience working in a collaborative, team-oriented environment. Project Management: Ability to manage multiple projects and meet deadlines effectively. Attention to Detail: High level of accuracy and attention to detail. Desired Criteria Advanced Expertise: Experience with deploying AI models in production environments and optimizing for scalability and performance. Innovative Mindset: Passion for staying up-to-date with the latest AI research and emerging technologies, and applying them creatively to solve business challenges. Data Engineering: Familiarity with data pipelines, ETL processes, and working knowledge of databases and big data technologies. Software Development Practices: Experience with version control (eg, Git), containerization (Docker), and CI/CD pipelines in an AI context. Domain Knowledge: Exposure to industry-specific applications of AI (eg, healthcare, finance, or E-commerce) is a plus. Mentorship: Ability and willingness to mentor junior engineers and contribute to a culture of continuous learning. Problem Framing: Strong skills in translating ambiguous business problems into clear AI-driven solutions. Adaptability: Comfortable working in a fast-paced, agile environment with evolving priorities. Ethical AI Awareness: Understanding of AI ethics, bias mitigation, and responsible AI deployment principles. Progression Opportunities As an AI Engineer, you'll have a well-supported growth path with opportunities to deepen your technical expertise and expand your impact across projects and teams. Depending on your interests, you can progress into more advanced roles such as Senior AI Engineer, AI Solutions Architect, Machine Learning Lead, or Technical Product Owner for AI initiatives. You'll be encouraged to take ownership of increasingly complex systems, contribute to strategic AI decisions, and mentor junior team members. We support certifications, attendance at industry events, and the freedom to explore new tools and approaches that shape the future of our AI capabilities. Company Culture Our culture is built on openness, learning, and shared purpose. We encourage collaboration across disciplines and believe diverse thinking leads to stronger, more innovative outcomes. Everyone here contributes to our direction, and we aim to make sure every voice is heard and valued. Benefits: Competitive salary Health and wellness benefits Professional development opportunities Collaborative and innovative work environment Application Process: Interested candidates are invited to submit their CV and cover letter to (see below) Shivom Consultancy Ltd is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Machine Learning Research Engineer A brilliant opportunity for a Machine Learning Research Engineer to work on researching and investigating new concepts for industry-leading, machine-learning software in Cambridge, UK. This unique opportunity is ideally suited to those with a Ph.D. relating to Machine Learning who have a keen interest in Natural Language Processing and Computer Vision and its application to an ever-advancing technical landscape. Location: Cambridge - 3 days in office, 2 days remote Salary: Up to £100,000 depending on experience Requirements for Machine Learning Research Engineer A Ph.D. from a world-leading University in a Computer Science, Physics or Maths with a keen demonstrable interest in Machine Learning / AI Excellent academics throughout including a minimum of a 2.1 degree from a leading university, AAB at A-Level Published papers Good understanding of software engineering concepts Ability to code in Python Experience working with large data sets (desirable) Responsibilities for Machine Learning Research Engineer Join a small team responsible for investigating the latest research in machine learning algorithms largely within the NLP and Computer Vision fields Make suggestions based on the feasibility of research to help shape future projects and products Prototyping research concepts Determining output quality, efficiency, and feasibility compared with other techniques What this offers Working for an industry-leading software company who have a fantastic track record of successfully hiring and training graduates Highly interesting work researching the next phases of cutting-edge, machine-learning software A good remuneration and benefits package Applications If you would like to apply for this unique opportunity, we would love to hear from you. Please send an up-to-date CV via the relevant link. We re committed to creating an inclusive and accessible recruitment process. If you require reasonable adjustments for your application or during the review process, please highlight this by emailing (if this email address has been removed by the job-board, full details for contact are available on our website). RedTech Recruitment Ltd focus on finding roles for people leaving academia entering industry. Even if the above role isn t of interest, please visit our website to see our other opportunities. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
20/06/2025
Full time
Machine Learning Research Engineer A brilliant opportunity for a Machine Learning Research Engineer to work on researching and investigating new concepts for industry-leading, machine-learning software in Cambridge, UK. This unique opportunity is ideally suited to those with a Ph.D. relating to Machine Learning who have a keen interest in Natural Language Processing and Computer Vision and its application to an ever-advancing technical landscape. Location: Cambridge - 3 days in office, 2 days remote Salary: Up to £100,000 depending on experience Requirements for Machine Learning Research Engineer A Ph.D. from a world-leading University in a Computer Science, Physics or Maths with a keen demonstrable interest in Machine Learning / AI Excellent academics throughout including a minimum of a 2.1 degree from a leading university, AAB at A-Level Published papers Good understanding of software engineering concepts Ability to code in Python Experience working with large data sets (desirable) Responsibilities for Machine Learning Research Engineer Join a small team responsible for investigating the latest research in machine learning algorithms largely within the NLP and Computer Vision fields Make suggestions based on the feasibility of research to help shape future projects and products Prototyping research concepts Determining output quality, efficiency, and feasibility compared with other techniques What this offers Working for an industry-leading software company who have a fantastic track record of successfully hiring and training graduates Highly interesting work researching the next phases of cutting-edge, machine-learning software A good remuneration and benefits package Applications If you would like to apply for this unique opportunity, we would love to hear from you. Please send an up-to-date CV via the relevant link. We re committed to creating an inclusive and accessible recruitment process. If you require reasonable adjustments for your application or during the review process, please highlight this by emailing (if this email address has been removed by the job-board, full details for contact are available on our website). RedTech Recruitment Ltd focus on finding roles for people leaving academia entering industry. Even if the above role isn t of interest, please visit our website to see our other opportunities. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Job Description: Chief Data Office (CDO) is a Mars Wrigley program that harnesses the power of data and insights to solve some of the critical business-wide problems we face - unlocking quality growth and operational excellence. Through CDO, we deliver connected insights across the entire Snacking ecosystem. We empower our Associates with the right data, tools and capabilities so they can take decisive action, maximizing value and making a meaningful impact on our consumers, our customers and our business. This position will play a key role in leading the Mars Snacking ecosystem into the ever-evolving world of Generative AI. This role will lead Gen AI projects in planning and execution across varying types of use cases (creative and processionary). They will create and define frameworks, guidelines and standards to make sure that Mars Snacking is taking full advantage of this field. They will also be expected to play hands-on when required and be able to guide the broader Data Science community through complex Gen AI and LLMOps projects. What are we looking for? 7+ years of experience working in a quantitative role preferably in the CPG, or retail industry. 4+ years of experience managing a team of data scientists, product analysts or data analysts Proven track record of delivering value through AI/ Data Science products in a fast-paced, agile environment using a scalable and reusable codebase and models to address business problems effectively. Partner with business leadership across functions to identify business challenges and opportunities and translate them unto actionable, integrated, data-driven solutions. An expert understanding of LLMs, ML Ops, LLM Ops and pertinent design architecture elements. An understanding of product management principles such as product definition, roadmap building and management, and product releases and commercialization Hands on experience in building Agents and leveraging emerging technologies within Microsoft and Google to design an agentic ecosystem. A strong customer centric mindset especially within an internal customer base with the purpose of driving value creation, adoption and use Strategic thinking, problem solving and innovation, with the ability to anticipate and navigate challenges and opportunities. Ensure compliance with analytics standards, including tailoring methodologies to specific use case needs such as ML, AI, and descriptive analytics. Ability to translate business needs into analytical frameworks & superior verbal and written communication skills Proficiency and hands-on experience in advanced analytics techniques and machine learning algorithms, including NLP, time-series analysis and other relevant methods and willingness to coach data scientists tactically Working understanding of ML Ops and DevOps frameworks Working expertise of OpenAI Endpoints, Google Vertex, Google Model Garden and Microsoft Suite of AI Models. What will be your key responsibilities? Serve as the key lead for Gen AI and LLM Ops in the Mars Snacking Community Applies strong expertise in AI through use of machine learning, data mining, and statistical models to design, prototype and build next generation ML engines and services Design, architect and review technical architecture of data science solutions Plan and lead data science projects that cover a diverse range of business problems Serve as key point of contact with Data Engineering and DevOps teams, for solution architecture and infrastructure design Review work of team members identifying optimum methodologies, advising on implementation, and checking business logic Use machine learning techniques, visualizations, & statistical analysis to gain insight into various data sets - some readily available, and some you create and curate yourself Collaborate with internal and external teams to ensure we focus on product and service recommendations and be a key player in our network of talent Contribute to a high performing data science function Create repeatable, interpretable, dynamic and scalable models that are seamlessly incorporated into analytic data products Performance Monitoring: Define key performance indicators (KPIs) and implement monitoring systems for deployed data platforms and products to ensure efficient operations data operations, effective support services and incident management. Solution ideation and Development: Guide a team of data scientists to create fit for purpose solutions using cutting edge analytical and AI methodologies. Focus on setting up a Data Science AI program and delivery methodology: Entails, recruiting and forming a team to solve a specific problem; elaborating on a programmatic mindset and tracking value delivery What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. Join a purpose driven company, where we're striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry competitive salary and benefits package, including company bonus. Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.
20/06/2025
Full time
Job Description: Chief Data Office (CDO) is a Mars Wrigley program that harnesses the power of data and insights to solve some of the critical business-wide problems we face - unlocking quality growth and operational excellence. Through CDO, we deliver connected insights across the entire Snacking ecosystem. We empower our Associates with the right data, tools and capabilities so they can take decisive action, maximizing value and making a meaningful impact on our consumers, our customers and our business. This position will play a key role in leading the Mars Snacking ecosystem into the ever-evolving world of Generative AI. This role will lead Gen AI projects in planning and execution across varying types of use cases (creative and processionary). They will create and define frameworks, guidelines and standards to make sure that Mars Snacking is taking full advantage of this field. They will also be expected to play hands-on when required and be able to guide the broader Data Science community through complex Gen AI and LLMOps projects. What are we looking for? 7+ years of experience working in a quantitative role preferably in the CPG, or retail industry. 4+ years of experience managing a team of data scientists, product analysts or data analysts Proven track record of delivering value through AI/ Data Science products in a fast-paced, agile environment using a scalable and reusable codebase and models to address business problems effectively. Partner with business leadership across functions to identify business challenges and opportunities and translate them unto actionable, integrated, data-driven solutions. An expert understanding of LLMs, ML Ops, LLM Ops and pertinent design architecture elements. An understanding of product management principles such as product definition, roadmap building and management, and product releases and commercialization Hands on experience in building Agents and leveraging emerging technologies within Microsoft and Google to design an agentic ecosystem. A strong customer centric mindset especially within an internal customer base with the purpose of driving value creation, adoption and use Strategic thinking, problem solving and innovation, with the ability to anticipate and navigate challenges and opportunities. Ensure compliance with analytics standards, including tailoring methodologies to specific use case needs such as ML, AI, and descriptive analytics. Ability to translate business needs into analytical frameworks & superior verbal and written communication skills Proficiency and hands-on experience in advanced analytics techniques and machine learning algorithms, including NLP, time-series analysis and other relevant methods and willingness to coach data scientists tactically Working understanding of ML Ops and DevOps frameworks Working expertise of OpenAI Endpoints, Google Vertex, Google Model Garden and Microsoft Suite of AI Models. What will be your key responsibilities? Serve as the key lead for Gen AI and LLM Ops in the Mars Snacking Community Applies strong expertise in AI through use of machine learning, data mining, and statistical models to design, prototype and build next generation ML engines and services Design, architect and review technical architecture of data science solutions Plan and lead data science projects that cover a diverse range of business problems Serve as key point of contact with Data Engineering and DevOps teams, for solution architecture and infrastructure design Review work of team members identifying optimum methodologies, advising on implementation, and checking business logic Use machine learning techniques, visualizations, & statistical analysis to gain insight into various data sets - some readily available, and some you create and curate yourself Collaborate with internal and external teams to ensure we focus on product and service recommendations and be a key player in our network of talent Contribute to a high performing data science function Create repeatable, interpretable, dynamic and scalable models that are seamlessly incorporated into analytic data products Performance Monitoring: Define key performance indicators (KPIs) and implement monitoring systems for deployed data platforms and products to ensure efficient operations data operations, effective support services and incident management. Solution ideation and Development: Guide a team of data scientists to create fit for purpose solutions using cutting edge analytical and AI methodologies. Focus on setting up a Data Science AI program and delivery methodology: Entails, recruiting and forming a team to solve a specific problem; elaborating on a programmatic mindset and tracking value delivery What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. Join a purpose driven company, where we're striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry competitive salary and benefits package, including company bonus. Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.
Job Title: Salesforce Health Cloud Expert Salary: 75,000 - 85,000 + Benefits and Bonus Location: London, Hybrid, 2 days onsite Are you looking for an exciting opportunity as Salesforce Technical Architect? Join us as a Salesforce Health Cloud Expert! Our favourite client is a purpose-led transformation company, built on belief. We do not just help businesses to transform through technology. We support them in making a meaningful difference to the people and communities they serve - our clients include some of the biggest brands in the UK and worldwide. For you, it means more to make an impact that matters, through challenging projects which demand ambitious innovation and thought leadership. Be part of an exciting team where you will be challenged every day. Work closely with the range of teams within the business to bring products to life. Work with customers and identify opportunities to support their strategy and improve their processes across functions. The Role As a Salesforce Health Cloud Expert , you will help the customer identify and drive the organization's needs for Salesforce foundations. In this role you will define the business or technology architecture and plan how large projects will be delivered. You will be responsible for overseeing the solution design and implementation. In this role you will contribute to program and platform centre of excellence vision while advising and articulating program/project strategies on enabling technologies leveraging the Salesforce Platform. Key responsibilities: Identify and drive the organization's needs for Salesforce foundations (Health Cloud). Take a creative, critical-thinking approach to CRM solution design, creating outside-the -box recommendations to design well-thought-out Salesforce solutions that balance business needs and end-user experience. Lead cross-team system design discussions, offering alternate choices, trade-offs, and impact analysis with a focus on long-term solutions. Provide guidance on application and integration development best practices, Enterprise Architecture standards, and functional/technical solution architecture, including environment management, testing, and Salesforce Platform. Drive the adoption of best engineering development practices across enterprise products and promote the creation of application and technical design documents that align with Salesforce best practices and seamless integrations. Provide thought leadership for Salesforce best practices and design patterns, and proactively find opportunities for improvement across the platform. Stay ahead of Salesforce and other ecosystem technologies and how their features map to business use cases; promote a culture of knowledge. Your Profile Key skills/knowledge/experience Experience in technical strategy and owning projects from end-to-end. Expertise with data management: structured and unstructured DBs, SQL and RDBMS technologies, SOA design principles. Experience in understanding large code bases, including API design techniques. Knowledge in UI/UX, which can be reflected in your work. Extensive experience and proficiency in Salesforce platform, including knowledge of Health Cloud, Lightning Platform, and other relevant products. Development Skills : Proficiency in Apex, Visualforce, Lightning Components, and other Salesforce-specific technologies for development and solution building. Integration Expertise : Experience designing and implementing integrations with third-party systems, utilizing APIs, middleware, and other integration tools. Data Management: Strong knowledge of data architecture, data modelling, and data migration strategies, ensuring data quality and integrity. Security and Compliance: In-depth understanding of Salesforce security best practices, authentication mechanisms, and compliance with industry regulations. Performance Optimization: Skill in identifying and resolving performance bottlenecks, optimizing system responsiveness, and enhancing user experience. Technical Documentation: Ability to create comprehensive technical documentation, including solution designs, architectural diagrams, and configuration details. Problem-Solving: Strong analytical and problem-solving abilities to address complex technical challenges and provide innovative solutions. Adaptability: Willingness to stay current with the latest Salesforce releases, features, and industry trends, and adapt strategies accordingly. Business Acumen: Understanding of business processes and the ability to translate business requirements into technical solutions that drive value. Strategic Thinking: Capability to align technical solutions with long-term business goals and develop a cohesive Salesforce architecture roadmap. Mentorship and Training : Advise and mentor diverse teams and product groups on resources in technical and functional delivery aspects at a programme level, using influence and adaptive communication strategies Performance Optimization: Skill in identifying and resolving performance bottlenecks, optimizing system responsiveness, and enhancing user experience. Good to have: Good knowledge on latest trends in technology such as AI and Machine Learning. In Technology Group Ltd is acting as an Employment Agency in relation to this vacancy.
19/06/2025
Full time
Job Title: Salesforce Health Cloud Expert Salary: 75,000 - 85,000 + Benefits and Bonus Location: London, Hybrid, 2 days onsite Are you looking for an exciting opportunity as Salesforce Technical Architect? Join us as a Salesforce Health Cloud Expert! Our favourite client is a purpose-led transformation company, built on belief. We do not just help businesses to transform through technology. We support them in making a meaningful difference to the people and communities they serve - our clients include some of the biggest brands in the UK and worldwide. For you, it means more to make an impact that matters, through challenging projects which demand ambitious innovation and thought leadership. Be part of an exciting team where you will be challenged every day. Work closely with the range of teams within the business to bring products to life. Work with customers and identify opportunities to support their strategy and improve their processes across functions. The Role As a Salesforce Health Cloud Expert , you will help the customer identify and drive the organization's needs for Salesforce foundations. In this role you will define the business or technology architecture and plan how large projects will be delivered. You will be responsible for overseeing the solution design and implementation. In this role you will contribute to program and platform centre of excellence vision while advising and articulating program/project strategies on enabling technologies leveraging the Salesforce Platform. Key responsibilities: Identify and drive the organization's needs for Salesforce foundations (Health Cloud). Take a creative, critical-thinking approach to CRM solution design, creating outside-the -box recommendations to design well-thought-out Salesforce solutions that balance business needs and end-user experience. Lead cross-team system design discussions, offering alternate choices, trade-offs, and impact analysis with a focus on long-term solutions. Provide guidance on application and integration development best practices, Enterprise Architecture standards, and functional/technical solution architecture, including environment management, testing, and Salesforce Platform. Drive the adoption of best engineering development practices across enterprise products and promote the creation of application and technical design documents that align with Salesforce best practices and seamless integrations. Provide thought leadership for Salesforce best practices and design patterns, and proactively find opportunities for improvement across the platform. Stay ahead of Salesforce and other ecosystem technologies and how their features map to business use cases; promote a culture of knowledge. Your Profile Key skills/knowledge/experience Experience in technical strategy and owning projects from end-to-end. Expertise with data management: structured and unstructured DBs, SQL and RDBMS technologies, SOA design principles. Experience in understanding large code bases, including API design techniques. Knowledge in UI/UX, which can be reflected in your work. Extensive experience and proficiency in Salesforce platform, including knowledge of Health Cloud, Lightning Platform, and other relevant products. Development Skills : Proficiency in Apex, Visualforce, Lightning Components, and other Salesforce-specific technologies for development and solution building. Integration Expertise : Experience designing and implementing integrations with third-party systems, utilizing APIs, middleware, and other integration tools. Data Management: Strong knowledge of data architecture, data modelling, and data migration strategies, ensuring data quality and integrity. Security and Compliance: In-depth understanding of Salesforce security best practices, authentication mechanisms, and compliance with industry regulations. Performance Optimization: Skill in identifying and resolving performance bottlenecks, optimizing system responsiveness, and enhancing user experience. Technical Documentation: Ability to create comprehensive technical documentation, including solution designs, architectural diagrams, and configuration details. Problem-Solving: Strong analytical and problem-solving abilities to address complex technical challenges and provide innovative solutions. Adaptability: Willingness to stay current with the latest Salesforce releases, features, and industry trends, and adapt strategies accordingly. Business Acumen: Understanding of business processes and the ability to translate business requirements into technical solutions that drive value. Strategic Thinking: Capability to align technical solutions with long-term business goals and develop a cohesive Salesforce architecture roadmap. Mentorship and Training : Advise and mentor diverse teams and product groups on resources in technical and functional delivery aspects at a programme level, using influence and adaptive communication strategies Performance Optimization: Skill in identifying and resolving performance bottlenecks, optimizing system responsiveness, and enhancing user experience. Good to have: Good knowledge on latest trends in technology such as AI and Machine Learning. In Technology Group Ltd is acting as an Employment Agency in relation to this vacancy.
An exceptional opportunity for a Machine Learning Engineer (with Full-Stack experience) to join an innovative market leader at the forefront of developing next-generation solutions that transform digital interactions. The role will focus on projects to leverage state-of-the-art generative AI, retrieval-augmented generation (RAG), and reasoning frameworks to build intelligent and context-aware systems. We are seeking talented Machine Learning Engineers with full-stack software development experience to join our client's team and help shape the future of AI-powered automation. Within this dynamic role varied duties will include: Search relevancy engineering. Conversational AI Development : Design, train, fine-tune, and deploy LLMs with reasoning capabilities. Retrieval-Augmented Generation (RAG): Implement, optimise, and scale RAG pipelines for effective information retrieval from structured and unstructured sources. Model Fine-Tuning & Training : Train domain-specific models using techniques like LoRA, QLoRA, PEFT, reinforcement learning, and supervised fine-tuning (SFT). Model Deployment & Inferencing : Optimise model serving and inference using vLLM, DeepSpeed, TensorRT, Triton, and other acceleration frameworks. Multi-Agent Systems : Develop and integrate agentic capabilities using frameworks such as LangChain, CrewAI, AutoGen, and DSPy. AWS Cloud & MLOps: Deploy scalable machine learning workloads on AWS using services like SageMaker, Bedrock, Lambda, S3, DynamoDB, ECS, and EKS. End-to-End AI Product Development : Work across the full ML lifecycle, from data collection and preprocessing to model evaluation, deployment, and monitoring. Full-Stack Integration : Develop APIs and integrate ML models into web applications using FastAPI, Flask, React, TypeScript, and Node.js. Vector Databases & Search : Implement embeddings and retrieval mechanisms using Pinecone, Weaviate, FAISS, Milvus, ChromaDB, or OpenSearch. Required skills & experience: 3-5+ years in machine learning and software development Proficient in Python, PyTorch or TensorFlow or Hugging Face Transformers Experience with RAG, LLM fine-tuning, and expertise in AWS and cloud-native AI deployments. Full-stack experience (React, TypeScript, Node.js) and API development. Familiarity with vector search and multi-agent orchestration Apply now to join this high growth and award-winning organisation with the opportunity to be part of building the future of AI driven projects and solutions. The role offers a highly competitive salary and benefits package and will be office based in Leicestershire. MLE(phone number removed)AMR INDAMS
19/06/2025
Full time
An exceptional opportunity for a Machine Learning Engineer (with Full-Stack experience) to join an innovative market leader at the forefront of developing next-generation solutions that transform digital interactions. The role will focus on projects to leverage state-of-the-art generative AI, retrieval-augmented generation (RAG), and reasoning frameworks to build intelligent and context-aware systems. We are seeking talented Machine Learning Engineers with full-stack software development experience to join our client's team and help shape the future of AI-powered automation. Within this dynamic role varied duties will include: Search relevancy engineering. Conversational AI Development : Design, train, fine-tune, and deploy LLMs with reasoning capabilities. Retrieval-Augmented Generation (RAG): Implement, optimise, and scale RAG pipelines for effective information retrieval from structured and unstructured sources. Model Fine-Tuning & Training : Train domain-specific models using techniques like LoRA, QLoRA, PEFT, reinforcement learning, and supervised fine-tuning (SFT). Model Deployment & Inferencing : Optimise model serving and inference using vLLM, DeepSpeed, TensorRT, Triton, and other acceleration frameworks. Multi-Agent Systems : Develop and integrate agentic capabilities using frameworks such as LangChain, CrewAI, AutoGen, and DSPy. AWS Cloud & MLOps: Deploy scalable machine learning workloads on AWS using services like SageMaker, Bedrock, Lambda, S3, DynamoDB, ECS, and EKS. End-to-End AI Product Development : Work across the full ML lifecycle, from data collection and preprocessing to model evaluation, deployment, and monitoring. Full-Stack Integration : Develop APIs and integrate ML models into web applications using FastAPI, Flask, React, TypeScript, and Node.js. Vector Databases & Search : Implement embeddings and retrieval mechanisms using Pinecone, Weaviate, FAISS, Milvus, ChromaDB, or OpenSearch. Required skills & experience: 3-5+ years in machine learning and software development Proficient in Python, PyTorch or TensorFlow or Hugging Face Transformers Experience with RAG, LLM fine-tuning, and expertise in AWS and cloud-native AI deployments. Full-stack experience (React, TypeScript, Node.js) and API development. Familiarity with vector search and multi-agent orchestration Apply now to join this high growth and award-winning organisation with the opportunity to be part of building the future of AI driven projects and solutions. The role offers a highly competitive salary and benefits package and will be office based in Leicestershire. MLE(phone number removed)AMR INDAMS
HUNTER SELECTION
Newcastle Upon Tyne, Tyne And Wear
Enterprise Data Architect - Hybrid - Newcastle - 85k - 100k + Bonus + Excellent Benefits I'm seeking an experience Enterprise Data Architect for a forward-thinking, regulated organisation with a strong national footprint. They are looking for a talented Enterprise Data Architect to shape the future of their cloud-first data strategy. You'll be responsible for designing, implementing, and optimising a scalable and secure data architecture that empowers advanced analytics, supports regulatory reporting, and drives long-term business value. You will lead the design of a high-performance data estate, built primarily on Microsoft Azure and Databricks Key Responsibilities: Design and implement scalable, secure cloud-based data architecture (Azure & Databricks) Develop optimised data models and pipelines using Delta Lake and Azure services Define data standards, policies, and governance practices aligned with compliance Enable real-time analytics and machine learning use cases across business functions Ensure data integration across structured/unstructured sources with high availability Lead innovation and adopt best practices in data engineering and architecture Collaborate with internal stakeholders and third-party vendors Key Skills & Experience: Proven background designing and delivering enterprise-scale data platforms Strong knowledge of Microsoft Azure, Databricks, Delta Lake, and data warehousing Advanced data modelling and ETL/ELT optimisation experience Familiarity with regulatory frameworks such as IFRS 17 , BCBS 239 , and UK Data Protection Excellent stakeholder communication and cross-functional collaboration skills Prior experience in a regulated industry (e.g. insurance, financial services, healthcare) is desirable Microsoft Certified: Azure Solutions Architect Expert Microsoft Certified: Azure Data Engineer Associate Databricks Certified Data Engineer or Machine Learning Associate Benefits for the Enterprise Data Architect Discretionary annual bonus Hybrid working (2 days office / 3 days home) 25 days annual leave + bank holidays (increasing over time) Enhanced pension Flexitime & flexible working options Electric car salary sacrifice scheme Healthcare cash plan Wellbeing app & fitness platform Enhanced parental leave and IVF appointment time Life assurance (4x salary) Discounts on insurance products and retailers Cycle to Work Scheme, community support days & social events If you are interested in this role or looking for something similar, please contact Alex MacDermott directly. If you are interested in this position please click 'apply'. Hunter Selection Limited is a recruitment consultancy with offices UK wide, specialising in permanent & contract roles within Engineering & Manufacturing, IT & Digital, Science & Technology and Service & Sales sectors. Please note as we receive a high level of applications we can only respond to applicants whose skills & qualifications are suitable for this position. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010. For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business.
19/06/2025
Full time
Enterprise Data Architect - Hybrid - Newcastle - 85k - 100k + Bonus + Excellent Benefits I'm seeking an experience Enterprise Data Architect for a forward-thinking, regulated organisation with a strong national footprint. They are looking for a talented Enterprise Data Architect to shape the future of their cloud-first data strategy. You'll be responsible for designing, implementing, and optimising a scalable and secure data architecture that empowers advanced analytics, supports regulatory reporting, and drives long-term business value. You will lead the design of a high-performance data estate, built primarily on Microsoft Azure and Databricks Key Responsibilities: Design and implement scalable, secure cloud-based data architecture (Azure & Databricks) Develop optimised data models and pipelines using Delta Lake and Azure services Define data standards, policies, and governance practices aligned with compliance Enable real-time analytics and machine learning use cases across business functions Ensure data integration across structured/unstructured sources with high availability Lead innovation and adopt best practices in data engineering and architecture Collaborate with internal stakeholders and third-party vendors Key Skills & Experience: Proven background designing and delivering enterprise-scale data platforms Strong knowledge of Microsoft Azure, Databricks, Delta Lake, and data warehousing Advanced data modelling and ETL/ELT optimisation experience Familiarity with regulatory frameworks such as IFRS 17 , BCBS 239 , and UK Data Protection Excellent stakeholder communication and cross-functional collaboration skills Prior experience in a regulated industry (e.g. insurance, financial services, healthcare) is desirable Microsoft Certified: Azure Solutions Architect Expert Microsoft Certified: Azure Data Engineer Associate Databricks Certified Data Engineer or Machine Learning Associate Benefits for the Enterprise Data Architect Discretionary annual bonus Hybrid working (2 days office / 3 days home) 25 days annual leave + bank holidays (increasing over time) Enhanced pension Flexitime & flexible working options Electric car salary sacrifice scheme Healthcare cash plan Wellbeing app & fitness platform Enhanced parental leave and IVF appointment time Life assurance (4x salary) Discounts on insurance products and retailers Cycle to Work Scheme, community support days & social events If you are interested in this role or looking for something similar, please contact Alex MacDermott directly. If you are interested in this position please click 'apply'. Hunter Selection Limited is a recruitment consultancy with offices UK wide, specialising in permanent & contract roles within Engineering & Manufacturing, IT & Digital, Science & Technology and Service & Sales sectors. Please note as we receive a high level of applications we can only respond to applicants whose skills & qualifications are suitable for this position. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010. For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business.
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