26 to 50 of 342 Machine Learning Jobs in the South East

team. You'll report to a Leader of Engine Development and collaborate with both game and central technology engineers and researchers to bring ML models into the hands of our players by deploying them directly into EA's games. Responsibilities: Design, build, and maintain robust end-to-end solutions … running machine learning models efficiently on a variety of devices. Partner with ML experts across EA to help adopt and scale new models and architectures optimized for on-device performance. Integrate ML solutions into our proprietary tools and game runtime environments on consoles, PCs, and mobile devices. Write ...

Machine Learning Engineer £700-750/day overall assignment rate to umbrella Fully remote 6 month initial Working with a FTSE 100 retail client who looking for 2x Machine Learning Engineers to expand their existing engineering team - this will be to support the delivery of advanced ...

Machine Learning Engineer Location: London Salary: £95,000-120,000 Contract: Permanent Working pattern: On site, 3 days a week A new software venture built inside an established global provider of analytical and research services to the private capital industry is hiring Machine Learning Engineers ...

agentic techniques to solve hard problems in language understanding, extraction, and reasoning. Shape the Product : Collaborate with Product, Design, and Underwriting SMEs to align ML capabilities with product goals and real domain constraints. Scale & Optimise : Take systems from prototype to production, optimising for latency, cost per run, and reliability … scale. What type of person fits the role: Experience: 6+ years in ML/AI, with deep hands-on expertise in NLP, LLMs/SLMs, and agentic systems. LLMs & Architectures: Hands-on experience building with OpenAI and Anthropic models/APIs; strong knowledge of LLMs and agent architectures. Tooling: Practical ...

applied NLP Strong hands‐on experience with: Search and retrieval systems (lexical, vector, hybrid) RAG pipelines and LLM‐based systems Evaluation methodologies for ML/IR/GenAI Advanced programming skills in Python Experience with modern ML/NLP frameworks (e.g., PyTorch, Hugging Face, LangChain, LangGraph, Haystack) Experience working with … Databricks or similar distributed data/ML platforms Strong understanding of experimentation design and statistical analysis Preferred qualifications Batchelor's, Masters, PhD in Computer Science, Data Science, Machine Learning, or a related field Experience working with large‐scale datasets (scientific, biomedical, or enterprise data) Familiarity with scientific ontologies ...

intelligence and data-driven methodologies to healthcare challenges. The successful candidate will work within a collaborative research environment, contributing to projects that leverage AI, machine learning, and data analytics to improve healthcare delivery, diagnostics, and patient outcomes. The role involves developing novel computational models, analysing complex healthcare datasets … engagement. Eligibility Criteria: A PhD (or near completion) in Computer Science, Artificial Intelligence, Data Science, or a closely related discipline Demonstrated experience in AI, machine learning, or data science research Experience working with healthcare or biomedical datasets (desirable) Strong publication record or evidence of research outputs Ability ...

libraries. Excellent communication skills, with the ability to explain technical concepts clearly to geoscientists, software engineers, data scientists, and product stakeholders. AI/ML Implementation Design, implement, and test AI/ML methods that automate or enhance subsurface interpretation, prediction, and modelling. Apply data-driven approaches to sparse, noisy … geoscientists, software engineers, data scientists, and product teams to turn research ideas into practical prototype workflows. Stay current with relevant advances in AI/ML, geoscience analytics, and subsurface modelling, and assess how they can be applied within Landmark workflows. Lead and contribute to technical presentations, publications, patent disclosures ...

team. The role reports to a Leader of Engine Development and collaborates with both game and central technology engineers and researchers to bring ML models into the hands of players by deploying them directly into EA's games. Key Responsibilities Design end-to-end solutions for running machine learning models on a variety of devices. Partner with ML experts across EA to help adopt and scale new models and architectures optimised for on-device performance. Integrate ML solutions into our proprietary tools and game runtime environments on consoles, PCs, and mobile devices. Required Experience & Qualifications 7+ ...

world business challenges? Do you enjoy working with data, uncovering patterns, and using evidence to influence decisions? Are you curious about how artificial intelligence, machine learning, and advanced analytics can help businesses innovate and improve performance? Our Data Scientist Apprenticeship provides an excellent opportunity to launch your career … data science while learning from industry experts within a leading technology company. Benefits of the programme: Earn while you learn with a competitive salary. Gain hands-on, job-specific training and real-world experience. Achieve a recognised professional qualification . Secure a permanent role from the start of your ...

Inventing innovative machine learning systems to solve real-world problems in the defence sector Cambridge; to c£70,000 DoE + Benefits This innovative team of engineers and scientists are using machine learning tightly integrated with modern electronics to create new classes of devices ...

solutions that efficiently and responsibly resolve complex natural resource, digital, energy transition and infrastructure challenges. Job Summary We’re seeking a versatile Senior Machine Learning Engineer with strong data engineering instincts and a passion for production-grade AI systems. You'll play a pivotal role across … tune LLMs models for domain-specific tasks. Build evaluation infrastructure and benchmarking pipelines to compare model performance across multiple datasets and tasks. Apply reinforcement learning, knowledge representation, and automated decision‐making to solve complex problems end‐to‐end. Data Infrastructure Collaborate with Data Scientist to build and own data ...

excellent opportunity for a mid-level Data Scientist who enjoys solving real-world business problems and wants the opportunity to work across machine learning, statistical analysis and data-driven decision-making. Key Responsibilities Develop and deploy machine learning and statistical models to solve business problems. Analyse … technical stakeholders. You'll ideally have: Strong commercial experience as a Data Scientist. Excellent Python skills. Strong SQL experience. Solid understanding of machine learning and statistical modelling. Experience working with predictive modelling techniques. Strong analytical and problem-solving skills. Experience communicating technical findings to non-technical audiences. ...

solutions that enable analytics, automation, and AI-driven business outcomes. Develop and optimise Snowflake-based data platforms to support reporting, data science, and machine learning workloads. Create automated, reliable, and observable data pipelines that meet engineering, governance, and security standards. Collaborate with stakeholders and technical teams to promote … best practices in SQL, Python, data modelling, and AI development. Drive the adoption of AI, machine learning, and generative AI technologies to deliver innovative business solutions. Continuously improve platform performance, scalability, and operational efficiency while supporting AI governance and MLOps best practices. Unfortunately we are unable to progress ...

Senior Data Scientist to join a growing technology business at a key stage of its journey. You'll work on high-impact machine learning projects, help shape analytical best practice, and see your work directly influence product development and client outcomes. The Company They are a data-driven … SaaS business that helps organisations make better commercial decisions through advanced analytics and machine learning. Their products support businesses across a variety of consumer-focused sectors, transforming complex datasets into practical insights. With an expanding client base and ambitious growth plans, they are continuing to invest in their Data ...

Responsibilities Deliver data science projects, from problem definition through to actionable insights and presentation of results Develop and apply predictive modelling, supervised and unsupervised machine learning techniques to optimise client operations and business outcomes Build and maintain data pipelines, ensuring data quality, consistency, and integrity across multiple sources … quality analytics that directly inform and improve client marketing outcomes Building trust and credibility with clients as an analytical consultant Regular iteration on our machine learning methodologies, tools, and frameworks Consistent demonstration of technical excellence and commercial insight in all project deliverables Measurable contribution to the enhancement ...

Build and deploy AI-driven fraud identification capabilities using multiple data sources. Develop fraud classifiers, anomaly detection, document intelligence and network analysis solutions. Use machine learning and AI to identify emerging threats, including synthetic identities and sophisticated application fraud. Own the production of fraud models, including testing … consumer lending or financial services. Hands-on experience building and deploying fraud or risk models into production. Advanced Python and SQL skills alongside strong machine learning knowledge. Practical experience working with LLMs, agentic AI or AI-driven decisioning, including evaluation, guardrails and governance. Strong understanding of Git, testing ...

events Employment: Permanent, full-time MFK Recruitment is recruiting a Founder’s Associate for an innovative UK technology company developing advanced Artificial Intelligence and Machine Learning solutions for defence, security and other demanding operational environments. Our client has a highly experienced team of Software Engineers, Data Scientists, Machine Learning specialists and Researchers. The company is growing rapidly and is now looking for a highly capable individual to work closely with the CEO and senior management team. MFK Recruitment has successfully recruited four Engineers to this company over the past five years, and all four are still ...

FinTech with an innovative approach to lending. You'll play a key role in building and improving fraud prevention capabilities, working on high-impact machine learning projects that directly influence customer outcomes, risk strategy, and business performance. THE COMPANY Our client is a forward-thinking FinTech with … fraud detection, identity verification, and fraud scoring models * Analyse large and complex datasets to identify fraud trends, risks, and opportunities * Evaluate new data sources, machine learning techniques, and fraud prevention tools * Build monitoring and reporting solutions to track model and fraud performance * Collaborate with Product, Engineering, Risk ...

needs. You will also influence senior stakeholders, shape roadmaps, and drive measurable outcomes across the organisation. Responsibilities Set AI and data science strategy across ML, NLP, search, recommendation, experimentation, and generative AI, aligning work to product goals, customer needs, and business priorities. Lead and develop high-performing teams by coaching … cross-functional leaders, shaping roadmaps, translating technical insights, and aligning teams on customer and business impact. Requirements Significant experience in data science, AI/ML, NLP, information retrieval, statistics, or a related quantitative field, or equivalent practical experience. Excellent technical expertise across modern data science methods, including machine learning ...

Reviewing technical literature and summarising relevant methods and evidence Designing controlled experiments and defining clear evaluation criteria Preparing data and developing proof-of-concept machine learning models Analysing results, limitations, uncertainty and potential sources of bias Documenting methods and communicating findings through reports, demonstrations and reviews Working with … experienced researchers and engineers on live research challenges Training The programme is delivered through a virtual learning model, combining: Live virtual lecturers Online learning resources Self-directed learning activities After the apprenticeship you will role off into the business as an AI Researcher. Apprenticeship Standard Machine ...

opportunities to thrive. Win as a Team: We’re looking for a Machine Learning Engineer to help build and run production-ready ML systems that make a real impact across the business. You’ll work closely with Data Scientists and engineering teams, shaping the ML roadmap, developing scalable … driving innovation while growing your career. You’ll make an impact by: Office location – London or Horsham, 3 days a week. Build and automate ML pipelines for feature engineering, model training, and model scoring using Python, PySpark, Databricks, and MLflow. Productionise Data Science models, converting notebooks into modular, tested, production ...

side proves works and turn it into something dependable enough to run in a live, privacy-sensitive, multi-partner environment. You'll set the ML engineering and MLOps direction for your workstreams and act as technical lead on how research gets built, tested, and shipped. What you'll do Lead … ML engineering and MLOps direction for assigned CODAS workstreams. Design, build, test, and maintain the ML services, data pipelines, evaluation tooling, and deployment-ready applications that make up the programme's technical deliverables. Translate research outputs into systems that are actually robust and maintainable, not just proofs of concept. Adapt ...

Senior Systems Engineer role, please apply. For more information on this role, or any other jobs across; Embedded, C++ programming, Embedded Linux, Golang Development, Machine Learning, Electronics, FPGA, Python, Machine Learning, Data Science or Simulation contact us today. ...

keen ability to assess, analyse, and meet client-specific needs. You will play a major role in developing and implementing Machine Learning (ML) and Artificial Intelligence (AI) solutions for our clients, along with providing key advice around innovation and new techniques to stakeholders. You will be designing solutions … complex challenges and will integrate code with software engineers. Responsibilities will include: Leading and delivering technical consulting projects. Developing and delivering AI/ML solutions using a range of techniques (ML, NLP, LLMs, etc.) to tackle real world problems, applying tools and techniques, and developing novel approaches where required. Building ...

keen ability to assess, analyse, and meet client-specific needs. You willplay a major role in developing and implementing Machine Learning (ML) and Artificial Intelligence (AI)solutions for our clients, along with providing key advice around innovation and new techniquesto stakeholders.You will be designing solutions for complex challenges … will integrate code with software engineers. Responsibilities will include: Leading and delivering technical consulting projects. Developing and delivering AI/ML solutions using a range of techniques (ML, NLP, LLMs, etc.)to tackle real world problems, applyingtools and techniques,and developing novel approaches where required. Building new relationships and maintainingcurrent ...