1 to 25 of 119 Remote/Hybrid Machine Learning Jobs in the South East

Senior Data Scientist who combines deep machine learning expertise with strong software engineering subject area to design, build, and deploy production‐grade ML and AI systems. This role goes beyond traditional ML engineering. You will apply machine learning science as a core field - developing novel algorithms … part of a cross‐disciplinary team alongside data scientists, software engineers, data engineers, and domain authorities - translating complex scientific and business problems into deployable ML products. Key Responsibilities Design, build, and maintain scalable, production‐grade machine learning systems and pipelines using modern engineering practices (CI/CD, testing ...

Senior Data Scientist who combines deep machine learning expertise with strong software engineering subject area to design, build, and deploy production-grade ML and AI systems. This role goes beyond traditional ML engineering. You will apply machine learning science as a core field developing novel algorithms … part of a cross-disciplinary team alongside data scientists, software engineers, data engineers, and domain authorities translating complex scientific and business problems into deployable ML products. Key Responsibilities Design, build, and maintain scalable, production-grade machine learning systems and pipelines using modern engineering practices (CI/CD, testing ...

organisation. This is the highest individual contributor tier within the field a role for engineers and scientists who not only build world-class ML systems but define how they are built. You will shape architectural direction, establish engineering and scientific standards, and drive the delivery of complex, high-impact ML … solutions. A core differentiator of this role is deep applied machine learning science: the ability to develop, validate, and deploy novel ML algorithms and scientific models as reliable, maintainable products bridging the gap between innovative research and enterprise-scale deployment. You will influence multiple teams, mentor senior engineers ...

first AI-native maritime design ecosystem, offering end-to-end solutions across the vessel lifecycle, from early concept design to operational optimisation. The Machine Learning Engineer will be required to undertake the following: Translate and embed research into commercially viable solution by managing a series of work packages. … capabilities to wind-assisted propulsion and rigid sail systems, working with industry stakeholders to validate the tools against practical design requirements. The successful Machine Learning Engineer will have the following skills, experience and attributes: MSc/MEng or PhD (desirable) in Machine Learning, AI, Computational Fluid ...

solutions across our global operations. We are establishing an "Agentic Factory" - a dedicated, high‐velocity delivery team focused on designing, building, and deploying genAI & ML solutions, multi‐agent workflows, and automation systems to solve complex business problems. The primary goals of the team include: Leading the technical design and architecture … team in ingesting and transforming data from multiple systems, modeling data, and engineering data marts to create reusable data assets, including developing and implementing machine learning models, genAI, and Agentic AI. Creating an operating a company wide agentic AI solution platform to help scale up AI capabilities across ...

impact. You will also collaborate across teams to turn complex challenges into practical, production-ready solutions. Responsibilities Design, build, and evaluate advanced AI/ML, NLP, and generative AI solutions for scientific and knowledge-discovery applications. Develop LLM-powered workflows and retrieval-augmented generation (RAG) systems for search, summarization, question … experience in data science, AI, machine learning, NLP, information retrieval, or a related quantitative field. Strong hands-on experience building AI/ML, NLP, generative AI, and retrieval-based systems in applied or product-focused environments. Expertise working with LLMs, including fine-tuning, prompt engineering, grounding strategies ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

responsibly and at scale. Must-Have Proven Production Experience: You have lived it, breathed it. Real commercial, production experience building and deploying AI/ML/GenAI solutions. Not just POC work or an academic pathway. Hybrid Technical & Strategic Skills: Deeply technical but able to present confidently to a board. … communication style. 1-hour Technical Interview: General technical questioning. No live coding or hackathon-style tasks. Well explore your experience with AI/ML/GenAI, cloud platforms and modern engineering practices. 1-hour Functional/Competency/Values Interview: Focused on values, your ability to lead and influence ...

identifying new opportunities within Market Pricing, maintaining our rate of improvement of model accuracy. Market Model Development: Developing, analysing and implementing advanced statistical and machine learning models into live pricing. Critically reviewing market models to ensure they are robust and relevant for use across pricing teams. Improving existing … Collaboration: Working closely with Market Pricing, Retail Pricing and Underwriting teams to ensure projects are focussed on the right aims. Working with Data and ML Engineering teams to deploy models and analytical solutions. Help develop best practice and new capability across Market Pricing. Explaining complex modelling work clearly and making ...

devices collect sensor data, including audio and radar, and connect to our cloud infrastructure for remote management and data transfer. Signal-processing and machine-learning pipelines then transform this data into clinically useful measures such as cough counts, breathing rate and heart rate. Our technology is already deployed … senior, hands-on engineering role spanning a complex, multi-component system including cloud software and infrastructure, data-processing pipelines, signal-processing and machine-learning algorithms, connected devices and supporting applications. Our multidisciplinary platform requires more than simply executing predefined test cases. You will need to develop a deep ...

management in a regulated environment. Help shape the Microsoft Azure and Databricks data science environment, including the organisation's approach to deploying and managing machine‐learning models. Develop practical AI and external data strategies, prioritising opportunities supported by clear business cases. Build and develop the internal data science … diligence discussions by articulating the organisation's capability, progress, governance and future roadmap. Skills and Experience Significant, demonstrable experience in data science, machine learning, predictive modelling or a closely related discipline. Deep practical expertise across the complete model lifecycle, from data preparation and development through to deployment ...

develop Power BI models, dashboards and reporting solutions Analyse large, complex datasets to uncover trends, patterns and opportunities Build and deploy advanced analytics and machine learning models Collaborate with data engineering teams to shape data pipelines Lead, mentor and develop a team of analysts Work closely with senior … Redshift, Databricks or similar Proven track record in building impactful data visualisations (Power BI or equivalent) Strong understanding of statistical modelling, predictive analytics and machine learning Experience leading or mentoring analysts Excellent stakeholder engagement and communication skills Why Join Foodbuy? Be part of a high‐impact, growing analytics ...

while balancing technical excellence with commercial impact. You'll be responsible for: Developing acquisition and behavioural credit scorecards using CRA data Building statistical and machine learning models including logistic and linear regression Designing and implementing credit strategies for new and existing customer portfolios Analysing large datasets using … across model development or strategy Strong SQL skills alongside Python or SAS (Python preferred) Experience with statistical modelling techniques such as logistic regression or machine learning Excellent communication skills with the ability to present to clients and senior stakeholders THE BENEFITS Up to £75,000 salary Hybrid working ...

bids, and mentor a high-innovation team of junior engineers. The Toolkit The Sweet Spot: Proven experience implementing hybrid algorithms (classical math + ML) for state estimation, anomaly detection, or information fusion. The Core Math: Deep familiarity with time/frequency domains, Fourier transforms, digital sampling, and filter design. … Frameworks: Practical knowledge of EKF, UKF, Lie Group UKF, or Physics-Informed ML is highly advantageous. The Stack: Fluency across C++, MATLAB/Mathematica, and Python. The Background: Typically a Bachelors, Masters, or PhD in a relevant STEM discipline, paired with few years of recent experience ...

restricted environments. About the Team Learn more about our work and the team on our website, recent blog post featuring one of our senior machine learning engineers and our latest Voices of Viridien. Key responsibilities Design and implement production architectures for agentic AI, LLM and vision‐language applications. … your choice! Buy & Sell Holiday Programme - you can buy extra holiday, sell unused holiday or even save it up! Relaxed dress code policy Learning and Development At Viridien, we foster a culture of continuous learning and provide tailored training programs through our Learning Hub, designed to enhance ...