351 jobs found

New hybrid Machine Learning Engineer job based in Cambridge, Cambridgeshire! We re looking for a talented Machine Learning 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 Machine Learning Engineer job: Train and deploy SOTA models on production-scale datasets Optimize models using pruning, quantization, distillation Enhance speech features (diarization, multilingual, keyword boosting) Scale training workflows across multi-GPU systems Apply and influence the latest ML research Key skills / experience required for the Machine Learning Engineer job: MSc/PhD in a relevant field with strong ML/deep learning foundations Hands-on experience with PyTorch or TensorFlow Expertise in model training at scale and GPU systems Knowledge of model compression and optimization techniques A background in speech recognition would be beneficial This is a great opportunity for a Machine Learning Engineer to join a passionate team of engineers developing ML systems that perform at scale and speed in Cambridge, Cambridgeshire. Candidates must live within 1 hour of Cambridge and be able to commute to the office 3 days per week. Apply now for the hybrid Machine Learning Engineer job in Cambridge, Cambridgeshire by sending your CV!

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

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.

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 Manchester. MLE(phone number removed)AMR INDAMS

Job Title: Backend Software Engineer (Python Energy Sector) Location: Remote Type: Full-Time Industry: Renewable Energy / CleanTech About the Role We are seeking a Backend Software Engineer with a strong foundation in Python and a passion for the energy sector to join a fast-growing and mission-driven consultancy. This role offers the opportunity to contribute to cutting-edge tools and platforms that optimize renewable energy assets and drive the clean energy transition. While Python is the primary development language, experience or interest in C# is considered a plus. This is a back-end focused position, but there is a data component, so familiarity with data science or data processing pipelines will be beneficial. Key Responsibilities Develop and maintain scalable, efficient backend systems and APIs for internal and client-facing platforms. Collaborate with data scientists and energy specialists to integrate machine learning models and data processing pipelines into production software. Contribute to tools that support renewable energy optimization, including grid analytics, tariff comparison, and wind farm design automation. Work on internal tooling and client projects focused on improving energy system efficiency and transparency. Participate in architecture decisions, code reviews, and continuous improvement of engineering practices. Required Skills & Experience Strong programming experience in Python (3+ years preferred). Solid understanding of backend architecture, including API development and database design. Experience working in or with the energy sector - particularly renewables, grid systems, or electricity markets. Exposure to data processing and analysis workflows, preferably in a scientific or energy domain. Ability to work collaboratively with cross-functional teams, including domain experts and data scientists. Nice to Have Experience with or willingness to learn C# . Familiarity with cloud platforms (e.g., AWS, GCP) and DevOps workflows. Background in optimization algorithms or energy modeling. Understanding of renewable energy technologies (e.g., wind, solar, storage) and market mechanisms. Why Join? You'll be part of a mission-oriented team with deep expertise in remewable energy, data science and software engineering. This is a chance to work at the intersection of technology, policy, and sustainability, shaping tools that make renewable energy more accessible, efficient, and cost-effective.

Systems Engineer - Seeker Modelling & Simulation Location : Stevenage or Bristol Hybrid working : 4-5 days per week on-site Our client, a leader in the defence sector, is currently seeking a Systems Engineer - Seeker Modelling & Simulation to join their dynamic team in either Stevenage or Bristol. In this role, you will be involved in a variety of innovative projects developing groundbreaking technologies. The position offers opportunities to support field trials and collaborate with a dedicated team of engineers to further your career development. Key Responsibilities: Performing activities including modelling, algorithm development, and systems studies Simulation and modelling of the entire Seeker chain from radar propagation to hardware response Developing algorithms that are auto-coded directly from models Supporting field trials and laboratory testing Engaging in multiple Seeker programmes, including Future Cruise Anti-Ship Weapon (FC/ASW) and Meteor Developing Active Electronically Scanned Arrays (AESAs) and highly integrated multi-mode sensors Participating in progression and development opportunities within the department Interacting with stakeholders across a multinational engineering team Job Requirements: Experience in modelling and coding Proficiency in algorithm development Ability to conduct data analysis and technical report writing Proficiency in MATLAB and development of models in Simulink Adaptable and proactive approach to problem-solving Degree level qualification in a STEM subject or equivalent experience Ability to achieve the appropriate level of security clearance (SC or DV) Desirable Experience: Formal software or firmware development experience Knowledge of RF systems and digital signal processing Experience with model verification, configuration control, and model release processes Knowledge of continuous integration and testing Understanding of machine learning and AI

Technical Support Engineer - Graduate Considered An exciting opportunity for a talented graduate or experienced support professional to join a market-leading, disruptive software company in London as a Technical Support Engineer. Specialising in cutting-edge machine learning technology, this rapidly growing organisation offers excellent training, career progression, and long-term prospects. You'll have the chance to work alongside some of the brightest minds in the industry, gaining hands-on experience while supporting customers with technology that is at the forefront of innovation. As the first point of contact for customer issues, you'll play a critical role in triaging problems and working closely with technical teams to ensure swift resolution. If you're eager to grow your career in a dynamic, fast-paced environment, we would love to hear from you. Location: Central London 3 days in office / 2 days remote Salary: £28,000 - £35,000 + healthcare, pension etc. Requirements for Technical Support Engineer - Graduate Considered Top academics including a minimum 2.1 bachelors from a leading University in a STEM-related discipline At least ABB at A-Level or equivalent UCAS points (please ensure A-Level grades are included on your CV). Basic scripting knowledge in Python or Bash beneficial Excellent customer-facing skills - you should have commercial experience in a role involving lots of communication (can be from internship / summer job) A motivated self-starter with a problem-solving attitude Strong aptitude for picking up technologies Ability to work with autonomy and as part of a team Great communication skills with fluent spoken and written English You are keen to work in a client-facing technical role (opposed to taking the R&D route) Responsibilities for Technical Support Engineer You will initially be fully trained on the software platform to understand the intricacies of the product You will then act as the main point of contact and liaise with customers and internal teams (predominantly the tech team) Manage customer issues from initial report through to resolution Basic troubleshooting, and escalation of issues to the tech team Give an excellent customer experience throughout the resolution process What this offers Working for an industry-leading software company who has a fantastic track record of successfully hiring and training graduates An exciting opportunity to support a cutting-edge machine learning platform A good remuneration and benefits package Applications If you have top academics and would like to apply, we would love to hear from you. Please ensure when applying you include your degree classification/GPA and your A Level grades (or UCAS equivalent)are on your CV. Please send an up-to-date CV via the relevant link. RedTech Recruitment Ltd focuses on finding roles for Engineers and Scientists. 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 RedTech. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Data & Analytics Consultant HD-Tech is proud to be partnering with a leading data management and analytics consultancy that specialises in delivering transformative business insights using Microsoft technologies. With over 10 years of industry presence, our client is recognised for helping organisations optimise their use of data to drive smarter decisions and long-term value. As they continue to scale their professional and managed services offerings, we re now seeking a Data & Analytics Consultant to join their expanding consulting team. About the Company This organisation is deeply committed to helping businesses "predict their future" through better use of data, technology, people, and process . Their services include: Managed Data Services Database and Infrastructure Consultancy Data Engineering & Analytics Adoption and Change Management Their reputation is built on strong consulting skills, deep expertise in Microsoft Data Services, and a highly collaborative culture. They place a premium on client engagement, commercial awareness, and internal collaboration to drive results. Role Overview As a Consultant, you will play a hands-on role in delivering client-facing analytics solutions. You ll help define project scopes, design and implement data architectures, and deliver compelling data narratives. You ll also be expected to identify additional client needs and work closely with internal teams to drive business opportunities. This is a hybrid role, with occasional travel to client sites across the UK and Europe. Key Responsibilities Design, develop, and deliver data and analytics solutions using Microsoft technologies Shape and scope projects to ensure timely and on-budget delivery Support sales and project teams by identifying new client opportunities Engage with stakeholders to gather requirements and define technical solutions Recommend and design optimal analytics architectures Develop robust data models using methodologies such as Kimble Deliver impactful visualisations and insights using tools like Power BI Promote user adoption, training, and change management initiatives Ensure high standards of documentation and data security compliance Technical Skills (desirable): Microsoft Azure Data Services (e.g., Azure Data Factory, Synapse, Databricks, Fabric) Data warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience: 5+ years working with Microsoft data platforms 5+ years in a customer-facing consulting or professional services role Strong understanding of data warehousing and BI principles Skilled in data modelling, database design, and transformation processes Confident communicator with strong stakeholder engagement skills Agile delivery experience preferred Benefits: Hybrid working model monthly onsite collaboration at a modern office in Thames Valley Park Comprehensive benefits including healthcare, pension, life assurance, and income protection

Senior Machine Learning Research Engineer Salary: 62,860 - 84,070 Location: Cambridge - Triangle/Hybrid (2 days per week in the office) Contracts: 1x Permanent, Full Time (35 hours per week) 1x Fixed Term (18 months), Full Time (35 hours per week) Shape the future of AI-powered learning solutions with Cambridge University Press & Assessment, a world-leading academic publisher and assessment organisation, and a proud part of the University of Cambridge. This is an exciting opportunity for Machine Learning Research Engineers to join our innovative Applied AI team. You'll contribute to developing, deploying, and maintaining cutting-edge AI capabilities that drive the success of Cambridge English's products and services. About the Role As a Senior Machine Learning Research Engineer, you will play a pivotal role in driving innovation and advancing AI-powered solutions that enhance Cambridge English products. Your expertise will contribute to the continuous improvement of existing models and the development of cutting-edge technologies that address future business needs. Key Responsibilities: Technical lead in designing full-cycle AI solutions, including data collection and pipelines for reusable analysis, and monitoring and maintenance regimes for continuous development. Research, develop, deploy, and maintain scalable AI-powered solutions for Cambridge English products. Estimate time, cost and outcomes of technical solutions, and manage risks to ensure prompt delivery. Collaborate with product, validation, and business teams to transform capabilities into impactful product features, while setting appropriate expectations. Plan work and resources, including adoption of new tools, to ensure that the machine learning team stay at the forefront of AI and machine learning trends and position Cambridge as a leader in AI-driven. Plan, prioritize and review work of the team to meet business objectives Lead on technical standards for the team, and mentor junior team members. About You To thrive in this role, you'll have a passion for AI-driven innovation and the ability to turn ideas into scalable solutions. Essential Qualifications & Skills : Master's degree (or equivalent qualification and experience) in machine learning or AI/computer science with substantial machine learning component. Proven hands-on industry experience (minimum 5 years, not including internships) in designing, developing, and deploying machine learning solutions in production environments. Strong track record of successfully translating academic research into real-world applications and products. Ability to estimate suitability of candidate ML, NLP, LLM, and GenAI technologies for specific scenarios, estimate the time, cost and outcomes of different solutions, and apply effective risk management to ensure prompt delivery Deep experience in Python and PyTorch/TensorFlow. Industry experience in building scalable, production-grade AI services and automated data pipelines with tools like Docker, Kubernetes, and cloud platforms (e.g., AWS). Proven ability to collaborate effectively in Agile/Scrum teams and contribute to cross-functional projects. Exceptional communication skills for articulating complex technical concepts to both technical and non-technical stakeholders, translating business requirements into technical solutions. Proactiveness in communicating issues and suggesting solutions. Stay current with state-of-the-art research and applying emerging AI techniques to solve business problems. Ability to supervise sub-teams, lead projects, mentor junior colleagues and lead on technical standards maintenance. Desirable : PhD degree or equivalent qualifications and experience in computer science, machine learning, artificial intelligence, or a closely related field. Experience in applying Natural Language Processing and/or Speech Technology techniques to solve real-world problems. Experience in applying machine learning to educational assessment and learning solutions Experience in leading research initiatives, contributing to patents, or publishing papers in machine learning or related AI fields. Rewards and benefits We will support you to be at your best in work and to live well outside of it. In addition to competitive salaries, we offer a world-class, flexible rewards package, featuring family-friendly and planet-friendly benefits including: 28 days annual leave plus bank holidays Private medical and Permanent Health Insurance Discretionary annual bonus Group personal pension scheme Life assurance up to 4 x annual salary Green travel schemes We are a hybrid working organisation, and we offer a range of flexible working options from day one. We expect most hybrid-working colleagues to spend 40-60% of their time at their dedicated office or location. We will also consider other work arrangements if you wish to work more flexibly or require adjustments due to a disability. Ready to pursue your potential? Apply now. We review applications on an ongoing basis, with a closing date for all applications being 28th September, although we may close it earlier if suitable candidates are identified. Interviews are scheduled to take place as deemed appropriate before or after the closing date. Please note that successful applicants will be subject to satisfactory background checks including DBS due to working in a regulated industry. Cambridge University Press & Assessment is an approved UK employer for the sponsorship of eligible roles and applicants under the Skilled Worker visa route. Please refer to the gov website for guidance to understand your own eligibility based on the role you are applying for.

Typescript Software Engineer required to join a cloud services development team working on an industrial workflow and process management system that takes real world IoT device data including location tracking, computer vision and time series data, to enable clients to monitor and proactively manage plant process, logistics and engineering deliveries. You will join an existing application development team in a very much hands on role, the ideal candidate will have a logical thought process that will enable them to quickly digest the complex but rules based logic of clients workflow. This and technology stack fluency the manager hopes will mean you can move into a technical leadership role as quickly as possible propelling product roadmap and R&D pipeline forward. Skills Typescript expert with AWS including AWS Lambda, Kinesis and EventBridge. AWS CDK2 Python knowledge Confluence and JIRA Role The Senior Backend Software Engineer will join an existing software team reporting to the Chief Technology Officer. Working on a world class AWS event driven design that delivers high performing Artificial Intelligence and Machine Learning services. This will be a challenging and varied position developing new features and APIs, performance optimisation, CICD and test suite improvement, updating core software and infrastructure libraries used across many client services, supporting Data Science and deploying ML systems.

Senior Data Science Engineer (Applied Data Science / SAAS) Location: Hybrid - 2 days per week in either Hampshire or Worcestershire Salary: 50,000 - 55,000 (DOE) Are you a hands-on data scientist who loves turning messy data into actionable insight? Do you enjoy building practical data solutions and working across teams to bring data-driven products to life? We're looking for a Senior Data Science Engineer to help shape a growing data capability within a well-established and ambitious tech organisation. You'll play a key role in designing and delivering data-driven products, contributing to model development, analytics tools and scalable pipelines that drive insight and innovation. You'll collaborate with engineers, analysts and stakeholders to solve real business problems using a blend of data science, analytics engineering and applied machine learning. This is a broad and flexible role, ideal for someone who's worked across the data science lifecycle and enjoys both experimentation and delivery. Key responsibilities include: Building and refining models to support decision-making and customer insight Designing and developing analytics tools and pipelines for internal and external use Supporting productionisation of models and analytical workflows Promoting best practices in reproducible, ethical and explainable data science Exploring new technologies and techniques to evolve the data offering What We're Looking For Strong experience in a Data Science or Machine Learning role Proficient in Python and SQL, with a solid grasp of data wrangling, modelling and validation Comfortable working with varied datasets and translating findings for non-technical audiences Understanding of modern data workflows (version control, notebooks, testing, etc.) Strong communicator with a practical, delivery-focused mindset Nice to have: Experience deploying or supporting ML models (e.g. regression, classification, recommendation) Familiarity with ML/DS libraries such as scikit-learn, TensorFlow, Hugging Face, or similar Exposure to cloud platforms (Azure preferred), APIs or data services Please note: Visa sponsorship is unfortunately not available for this role. Applicants must have the right to work in the UK . If you're excited about solving real-world problems with data, enjoy working across disciplines and want a role where you can have real impact then we'd love to hear from you. Apply now to take your next step in applied data science.

Technical Lead - Data Science & Engineering Location: Hybrid - 2 days per week in either Worcestershire or Hampshire Salary: 63,000 - 66,000 DOE + 10% bonus Are you a technically strong data leader who thrives at the intersection of strategy, architecture and hands-on delivery? Want to shape the future of data science and engineering within a fast-evolving SaaS business? We're looking for a Technical Lead within Data Science & Engineering to drive the technical direction of a modern data platform supporting analytics, machine learning and Data-as-a-Service (DaaS) capabilities. In this role you'll combine deep technical expertise with cross-functional leadership mentoring a multidisciplinary team and guiding the development of performant, secure and scalable data products. You'll be at the centre of data innovation, building infrastructure and ensuring that data science and engineering efforts are aligned, ethical and production-ready. Key responsibilities include: Architecting and scaling cloud-based data platforms and DaaS solutions Acting as the technical authority across data science and engineering, setting standards for tools, patterns and workflows Leading design and implementation of robust, secure pipelines and ML workflows Collaborating with product, engineering and business teams to define strategy and deliver data solutions that matter Mentoring team members, supporting professional growth and technical delivery Overseeing deployment, monitoring and ethical use of ML models in production Designing APIs and data interfaces for internal and external consumption Evaluating and adopting new tools to enhance performance, maintainability and scalability What We're Looking For Strong experience in data science, data platform or ML engineering roles including recent experience in a technical leadership or architect-level position Proven track record of building and scaling data systems in cloud environments (Azure preferred; AWS/GCP also welcome) Strong Python and SQL skills with deep knowledge of modern data tooling and pipelines Experience with MLOps, CI/CD workflows, containerisation (e.g., Docker, Kubernetes) and production-grade APIs Understanding of data governance, privacy and regulatory compliance (e.g., GDPR) Nice to have: Familiarity with Infrastructure as Code (e.g., Ansible), MLFlow, or orchestration frameworks Background in both object-oriented and functional programming paradigms Please note: Visa sponsorship is unfortunately not available for this role. Applicants must have the right to work in the UK . If you're excited about owning technical strategy, building data systems that scale, and leading a high-performing team-we'd love to hear from you. Apply now to lead the next phase of our data transformation journey.

MACHINE LEARNING RESEARCH ENGINEER Salary: 48,330 - 62,835 Location: Cambridge - Triangle/Hybrid (2 days per week in the office) Contract: Full Time (35 hours per week), Permanent Shape the future of AI-powered learning solutions with Cambridge University Press & Assessment, a world-leading academic publisher and assessment organisation, and a proud part of the University of Cambridge. This is an exciting opportunity for Machine Learning Research Engineers to join our innovative Applied AI team. You'll contribute to developing, deploying, and maintaining cutting-edge AI capabilities that drive the success of Cambridge English's products and services. About the Role As a Machine Learning Research Engineer, you will play a pivotal role in driving innovation and advancing AI-powered solutions that enhance Cambridge English products. Your expertise will contribute to the continuous improvement of existing models and the development of cutting-edge technologies that address future business needs. Key Responsibilities: Develop, deploy, and maintain scalable AI-powered solutions for Cambridge English products. Optimize and modularize models for reusability and performance. Collaborate with product, validation, and business teams to transform capabilities into impactful product features. Stay at the forefront of AI and machine learning trends to position Cambridge as a leader in AI-driven assessment and learning. Plan, prioritize, and manage own tasks aligned with business objectives. We are also looking for 2 Junior Machine Learning Research Engineers (permanent) and 2 Senior Machine Learning Research Engineers (1x permanent, 1x fixed-term). Please visit the linked job postings to apply for these roles. About You To thrive in this role, you'll have a passion for AI-driven innovation and the ability to turn ideas into scalable solutions. Essential Qualifications & Skills: Master's degree (or equivalent qualifications and experience) in machine learning or AI/computer science with substantial machine learning component Proven hands-on industry experience (minimum 2 years, not including internships) in designing, developing, and deploying machine learning solutions in production environments. Advanced programming skills in languages such as Python with a strong focus on code optimization, modular design, and efficiency. Deep expertise in developing, training, and deploying models using frameworks like PyTorch and TensorFlow. Demonstrated experience in building scalable, production-grade AI services and automated data pipelines with tools like Docker, Kubernetes, and cloud platforms (e.g., AWS). Strong understanding of data analysis, model evaluation, and error analysis to drive continuous model improvement. Proven ability to collaborate effectively in Agile/Scrum teams and contribute to cross-functional projects. Exceptional communication skills for articulating complex technical concepts to both technical and non-technical stakeholders. Demonstrated commitment to continuous learning, staying current with state-of-the-art research and applying emerging AI techniques to solve business problems. Desirable: PhD or equivalent qualification and experience in Machine learning or AI/Computer Science Experience in applying Natural Language Processing and/or Speech Technology techniques to solve real-world problems. Experience applying machine learning to educational assessment and learning solutions. Hands-on experience with Large Language Models (LLMs) or foundation models, including fine-tuning and adapting models for specific, production-level applications. Contributions to patents or peer-reviewed research publications in machine learning or related AI fields. Rewards and benefits We will support you to be at your best in work and to live well outside of it. In addition to competitive salaries, we offer a world-class, flexible rewards package, featuring family-friendly and planet-friendly benefits including: 28 days annual leave plus bank holidays Private medical and Permanent Health Insurance Discretionary annual bonus Group personal pension scheme Life assurance up to 4 x annual salary Green travel schemes We are a hybrid working organisation, and we offer a range of flexible working options from day one. We expect most hybrid-working colleagues to spend 40-60% of their time at their dedicated office or location. We will also consider other work arrangements if you wish to work more flexibly or require adjustments due to a disability. Ready to pursue your potential? Apply now. We review applications on an ongoing basis, with a closing date for all applications being 28th September, although we may close it earlier if suitable candidates are identified. Interviews are scheduled to take place as deemed appropriate before or after the closing date. Please note that successful applicants will be subject to satisfactory background checks including DBS due to working in a regulated industry. Cambridge University Press & Assessment is an approved UK employer for the sponsorship of eligible roles and applicants under the Skilled Worker visa route. Please refer to the gov website for guidance to understand your own eligibility based on the role you are applying for.

Application Software Engineer (Graduate to Mid-Level) Location: Cambridge, UK (Hybrid) Salary: 30,000 - 50,000 (depending on experience) Recent Graduates to Mid-Level Developers Welcome! The Company Join a pioneering AI and machine learning software house, led by award-winning entrepreneurs and known for pushing the boundaries of innovation. You'll be part of a collaborative, high-calibre team working on impactful, real-world projects. What We're Looking For Education & Skills - A 2:1 or higher in Computer Science, Engineering, Physics, or a related field from a top university. - AAB or higher at A-levels. - Strong mathematical and analytical thinking skills. - Excellent communication and teamwork abilities. Technical Skills - Familiarity with one or more of the following: - Programming: Node.js, Python, Java - Databases: PostgreSQL, Elasticsearch, Redis - A proactive, problem-solving mindset and eagerness to learn. Experience - For graduates: hands-on experience through internships or university projects. - For mid-level candidates: up to 3 years of commercial experience in software development. - Passion for software engineering and a desire to build scalable, high-quality applications. The Role As an Application Software Engineer, you'll: - Contribute to the design, development, and implementation of software applications. - Collaborate with a diverse and talented team of engineers. - Learn from experienced mentors and take on increasing responsibility. - Gain exposure to the full software development lifecycle (SDLC). - Be encouraged to grow into a leadership role over time. Why Join Us? - Work with a globally respected AI software company. - Competitive salary and benefits. - Hybrid working model with a collaborative office culture in Cambridge. - Learn from top experts in AI and machine learning. - Clear progression path and opportunities to grow your career. Application Process - Submit a CV that highlights your academic achievements and relevant experience. - Initial discussions will take place before your application is submitted to the employer. Ready to take the next step in your software engineering career? Apply now! Adecco is acting as an Employment Agency. We are an equal opportunities employer. Relevant

Junior Machine Learning Research Engineer Salary: 40,000- 52,000 Location: Cambridge - Triangle/Hybrid (2 days per week in the office) Contract: Full Time/Permanent (35 hours per week) Shape the future of AI-powered learning solutions with Cambridge University Press & Assessment. This is an exciting opportunity for two Junior Machine Learning Research Engineers to join our innovative Applied AI team. You'll contribute to developing, deploying, and maintaining cutting-edge AI capabilities that drive the success of Cambridge English's products and services. We are Cambridge University Press & Assessment, a world-leading academic publisher and assessment organization and a proud part of the University of Cambridge. About the Role As a Junior Machine Learning Research Engineer, you will play a pivotal role in driving innovation and advancing AI-powered solutions that enhance Cambridge English products. Your expertise will contribute to the continuous improvement of existing models and the development of cutting-edge technologies that address future business needs. Key Responsibilities: Help develop, deploy, and maintain scalable AI-powered solutions for Cambridge English products. Optimize and modularize models for reusability and performance. Collaborate with product, validation, and business teams to transform capabilities into impactful product features. Stay at the forefront of AI and machine learning trends to position Cambridge as a leader in AI-driven assessment and learning. Plan, prioritize, and manage own tasks aligned with business objectives. We are also looking for 2 Senior Machine Learning Research Engineers (1x permanent, 1x fixed term) and 1 Machine Learning Research Engineer (permanent) . Please visit the linked job postings to apply for these roles. About You To thrive in this role, you'll have a passion for AI-driven innovation and the ability to turn ideas into scalable solutions. Essential Qualifications & Skills: First class Bachelor's or Master's degree (or equivalent qualifications and experience) in machine learning or AI/computer science with a substantial machine learning component. Excellent programming skills in languages such as Python and shell scripting with a strong focus on code optimization, modular design, and efficiency. Demonstrable experience in developing, training, and deploying models using frameworks like PyTorch and TensorFlow. Strong understanding of data analysis, model evaluation, and error analysis to drive continuous model improvement. Excellent communication skills. Demonstratable commitment to continuous learning, staying current with state-of-the-art research and applying emerging AI techniques Desirable: Proven ability to collaborate effectively in Agile/Scrum teams and contribute to cross-functional projects.Industry experience in applying ML to real-world problems. Experience applying machine learning to educational assessment and learning solutions. Hands-on experience with Large Language Models (LLMs) or foundation models, including fine-tuning and adapting models for specific, production-level applications. PhD (or equivalent qualifications and experience) in machine learning or AI/computer science Exposure to research-oriented work or contributions to open-source projects in the AI domain. Internship experience in AI/ML Experience in contributing to patents, or academic papers related to ML. Rewards and Benefits We will support you to be at your best in work and to live well outside of it. In addition to competitive salaries, we offer a world-class, flexible rewards package, featuring family-friendly and planet-friendly benefits including: 28 days annual leave plus bank holidays Private medical and Permanent Health Insurance Discretionary annual bonus Group personal pension scheme Life assurance up to 4 x annual salary Green travel schemes We also offer flexible and hybrid working options from day one. We will consider any work arrangements if you wish to work flexibly or require adjustments due to a disability. Ready to pursue potential? Apply now. We review applications on an ongoing basis, with a closing date for all applications being 28th September, although we may close it earlier if suitable candidates are identified. Interviews are scheduled to take place as deemed suitable before or after the closing date. Please note that successful applicants will be subject to satisfactory background checks, including a DBS check, due to working in a regulated industry. Cambridge University Press & Assessment is an approved UK employer for the sponsorship of eligible roles and applicants under the Skilled Worker visa route. Please refer to the gov website for guidance to understand your own eligibility based on the role you are applying for.

Senior Data Science Engineer (Applied Data Science/SAAS) Location: Hybrid - 2 days per week in either Hampshire or Worcestershire Salary: £50,000 - £55,000 (DOE) Are you a hands-on data scientist who loves turning messy data into actionable insight? Do you enjoy building practical data solutions and working across teams to bring data-driven products to life? We're looking for a Senior Data Science Engineer to help shape a growing data capability within a well-established and ambitious tech organisation. You'll play a key role in designing and delivering data-driven products, contributing to model development, analytics tools and scalable pipelines that drive insight and innovation. You'll collaborate with engineers, analysts and stakeholders to solve real business problems using a blend of data science, analytics engineering and applied machine learning. This is a broad and flexible role, ideal for someone who's worked across the data science life cycle and enjoys both experimentation and delivery. Key responsibilities include: Building and refining models to support decision-making and customer insight Designing and developing analytics tools and pipelines for internal and external use Supporting productionisation of models and analytical workflows Promoting best practices in reproducible, ethical and explainable data science Exploring new technologies and techniques to evolve the data offering What We're Looking For Strong experience in a Data Science or Machine Learning role Proficient in Python and SQL, with a solid grasp of data wrangling, modelling and validation Comfortable working with varied datasets and translating findings for non-technical audiences Understanding of modern data workflows (version control, notebooks, testing, etc.) Strong communicator with a practical, delivery-focused mindset Nice to have: Experience deploying or supporting ML models (eg regression, classification, recommendation) Familiarity with ML/DS libraries such as scikit-learn, TensorFlow, Hugging Face, or similar Exposure to cloud platforms (Azure preferred), APIs or data services Please note: Visa sponsorship is unfortunately not available for this role. Applicants must have the right to work in the UK . If you're excited about solving real-world problems with data, enjoy working across disciplines and want a role where you can have real impact then we'd love to hear from you. Apply now to take your next step in applied data science.

Technical Lead - Data Science & Engineering Location: Hybrid - 2 days per week in either Worcestershire or Hampshire Salary: £63,000 - £66,000 DOE + 10% bonus Are you a technically strong data leader who thrives at the intersection of strategy, architecture and hands-on delivery? Want to shape the future of data science and engineering within a fast-evolving SaaS business? We're looking for a Technical Lead within Data Science & Engineering to drive the technical direction of a modern data platform supporting analytics, machine learning and Data-as-a-Service (DaaS) capabilities. In this role you'll combine deep technical expertise with cross-functional leadership mentoring a multidisciplinary team and guiding the development of performant, secure and scalable data products. You'll be at the centre of data innovation, building infrastructure and ensuring that data science and engineering efforts are aligned, ethical and production-ready. Key responsibilities include: Architecting and scaling cloud-based data platforms and DaaS solutions Acting as the technical authority across data science and engineering, setting standards for tools, patterns and workflows Leading design and implementation of robust, secure pipelines and ML workflows Collaborating with product, engineering and business teams to define strategy and deliver data solutions that matter Mentoring team members, supporting professional growth and technical delivery Overseeing deployment, monitoring and ethical use of ML models in production Designing APIs and data interfaces for internal and external consumption Evaluating and adopting new tools to enhance performance, maintainability and scalability What We're Looking For Strong experience in data science, data platform or ML engineering roles including recent experience in a technical leadership or architect-level position Proven track record of building and scaling data systems in cloud environments (Azure preferred; AWS/GCP also welcome) Strong Python and SQL skills with deep knowledge of modern data tooling and pipelines Experience with MLOps, CI/CD workflows, containerisation (eg, Docker, Kubernetes) and production-grade APIs Understanding of data governance, privacy and regulatory compliance (eg, GDPR) Nice to have: Familiarity with Infrastructure as Code (eg, Ansible), MLFlow, or orchestration frameworks Background in both object-oriented and functional programming paradigms Please note: Visa sponsorship is unfortunately not available for this role. Applicants must have the right to work in the UK . If you're excited about owning technical strategy, building data systems that scale, and leading a high-performing team-we'd love to hear from you. Apply now to lead the next phase of our data transformation journey.

Job Description We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorgan Chase within the CDAO Data Platform/Fusion team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. Job responsibilities Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Contributes to software engineering communities of practice and events that explore new and emerging technologies Adds to team culture of diversity, equity, inclusion, and respect Designs, develops, and maintains Java-based applications Collaborates with cross-functional teams to define, design, and ship new features Utilizes AWS services such as EKS, EC2, S3, Lambda, RDS, SQS, SNS, Cloud Watch and others to build scalable applications Implements best practices for cloud computing, including security, scalability, and cost management Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and previous applied experience Hands-on practical experience in system design, application development, testing, and operational stability Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Overall knowledge of the Software Development Life Cycle and solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Experience in HTML5/ JavaScript frameworks like Angular and related build technologies. Proven knowledge in HTML5, CSS Frameworks, JavaScript, Type Script, jQuery, Bootstrap, Angular JS, Node JS, JSON, Angular 6 or above, Angular CLI Proven experience with BDD/TDD web development models and familiar with Jasmine, Karma, protractor, selenium web driver Experience in Core Java, J2EE frameworks (Spring, Hibernate); JMS Proven knowledge of Internet technologies including REST and/or Web Services Knowledge of Agile and experience in Scrum essential Comfortable with industry standard build/Development tools including: Maven, Ant, Jenkins, IntelliJ, Webpack. Preferred qualifications, capabilities, and skills Continuous Integration and automated deployment experience for multi-branched, multi-module projects. Cloud computing and micro services experience Ability to provide developer support for Production issues Team player with good communication skills, self-learner focused on quality and delivery Knowledge around data structures, caching, multithreading, messaging and asynchronous communication is desirable About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

Job Description Push the limits of what's possible with us as an experienced member of our Software Engineering team. As an Experienced Software Engineer III at JPMorgan Chase within the Global Technology team, you serve as member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. Depending on the team that you join, you could be developing mobile features that give our customers and clients more control over how they bank with us, strategizing on how big data can make our trading systems quicker, creating the next innovation in payments for merchants, or supporting the integration of our private and public cloud platforms. Job Responsibilities Participates in, design and develop scalable and resilient systems using Java or Python to contribute to continual, iterative improvements for product teams Executes software solutions, design, development, and technical troubleshooting Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces or contributes to architecture and design artifacts for applications while ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Contributes to software engineering communities of practice and events that explore new and emerging technologies Adds to team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on system design concepts and proficient applied experience Hands-on practical experience in system design, application development, testing and operational stability Proficient in coding in Java or Python languages Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Overall knowledge of the Software Development Life Cycle Understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Preferred qualifications, capabilities, and skills Familiarity with modern front-end technologies Exposure to cloud technologies About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.