1 to 25 of 81 Part-Time Machine Learning Jobs in the UK

Data Scientist Full remote (based in the UK) 30-33,000 depending on experience Benefits package. Primary Purpose Development of XCMs machine learning solutions Delivery of client machine learning models . Delivery of associated documentation and content on each project. Communicating findings to internal and external stakeholders Enhancing the clients ROI with XCM through data driven … on client roadmaps when needed. Supporting XCMs analysts in statistical techniques. Key Responsibilities Working closely with the lead Data Scientist and Director of Analytics to develop a suite of machine learning solutions. Involvement in the design, creation, productionising, testing, and maintenance of machine learning solutions. Developing data models to serve the needs of each client by … Qualities Degree level qualification or equivalent in a mathematical or computing discipline. 2+ years experience writing production level python code Highly proficient with numpy, pandas, sklearn Strong understanding of machine learning algorithms and workflow Experience scoping and developing machine learning projects such as recommender systems Experience with containerised deployment (docker) Strong understanding of CI/CD More ❯

Were hiring a creative & driven Machine Learning Engineer to help us redefine digital experiences at the intersection of fashion, generative AI, and computer graphics. You will be a key member of our high-energy R&D team, responsible for designing, building, and deploying the cutting-edge models that will power the next generation of e-commerce and entertainment. … robust, scalable machine learning pipelines for data processing, training, and inference. Optimise models and algorithms for performance to handle large, multimodal datasets. Stay at the forefront of ML & AI research, applying the latest techniques to solve unique and challenging problems. Requirements: Proven experience developing and deploying machine learning models in a production environment. Strong programming skills … in Python & familiarity with ML frameworks (PyTorch or TensorFlow). Solid understanding of ML fundamentals and modern deep learning architectures (e.g., Transformers, CNNs). A passion for applying ML to new, creative domains and an eagerness to learn about the challenges in computer graphics and 3D. Nice to have: Hands-on experience optimising large models (e.g., diffusion models, LLMs More ❯

AI Engineer Up to 90,000 Salary Southern England x2 days per month OVERVIEW Xcedes Data-driven Insurance client with an excellent Data Science, ML Engineering and MLOps team is hiring for an AI Engineer to join their AI unit. The organisation have been building commercially successful Data Science products for years, and are now pushing further into Generative AI … with multiple LLM-based projects in production across the company. In this role you will be responsible for building and deploying production level ML models for a breadth of interesting commercial projects. The role is end to end focused. Your responsibilities as a Machine Learning Engineer will include but not be limited to: Developing and deploying predictive models … a particular focus on LLMs and RAGs. Collaborate with cross-functional commercial and business teams, to understand business requirements and identify opportunities for deploying statistical models. Building production level Machine Learning models and be hands on in deployment. Evaluating and select appropriate machine learning techniques and algorithms for solving commercial challenges. YOUR SKILLS & EXPERIENCE A successful More ❯

higher-quality, more intelligent ad-funded internet. Theyre now hiring their first ever Applied Machine Learning Engineer someone curious, hands-on, and ready to own all things ML from day one. What youll be doing: Building and deploying applied ML systems that make the product smarter and more defensible Developing contextual categorisation of web content Prototyping algorithms to … engineering to retrieval-augmented generation (RAG) Working cross-functionally with engineers, product and commercial teams to bring ideas to life What theyre looking for: 13 years experience in applied ML/AI (or equivalent projects) Strong Python skills with PyTorch, Hugging Face or scikit-learn Experience experimenting with LLMs (fine-tuning, embeddings, prompt chaining etc.) A passion for turning messy … real-world data into something powerful and production-ready Excitement about being the first ML hire in a scaling start-up environment Why youll love it: Real ownership from day one build, shape and scale the ML function Hybrid setup (London-based, flexible culture) 33 days holiday + Christmas shutdown Private medical, pension, socials, offsites & more If youre ready to More ❯

higher-quality, more intelligent ad-funded internet. Theyre now hiring their first ever Applied Machine Learning Engineer someone curious, hands-on, and ready to own all things ML from day one. What youll be doing: Building and deploying applied ML systems that make the product smarter and more defensible Developing contextual categorisation of web content Prototyping algorithms to … engineering to retrieval-augmented generation (RAG) Working cross-functionally with engineers, product and commercial teams to bring ideas to life What theyre looking for: 13 years experience in applied ML/AI (or equivalent projects) Strong Python skills with PyTorch, Hugging Face or scikit-learn Experience experimenting with LLMs (fine-tuning, embeddings, prompt chaining etc.) A passion for turning messy … real-world data into something powerful and production-ready Excitement about being the first ML hire in a scaling start-up environment Why youll love it: Real ownership from day one build, shape and scale the ML function Hybrid setup (London-based, flexible culture) 33 days holiday + Christmas shutdown Private medical, pension, socials, offsites & more If youre ready to More ❯

Machine Learning Engineer - Remote (EU 4h) - Up to 75,000 Im partnered with a fast-growing conversational AI startup thats redefining how people interact with personal chatbots. Their mission? To create intelligent, intuitive digital companions that genuinely feel human. As they expand their engineering team, theyre looking for a Machine Learning Engineer whos … passionate about building high-performing, scalable AI systems not just models, but end-to-end products that people love using. What youll be doing: Designing and developing cutting-edge ML systems that power next-gen chat experiences Collaborating with product, UX, and engineering teams to bring new features to life Building with modern frameworks like Python, TypeScript, Next.js, Supabase, and … Tailwind Keeping the AI stack performant, reliable, and ever-evolving Staying ahead of emerging ML trends and applying them to real-world product impact What youll bring: Strong experience across ML systems and algorithms Solid technical grounding in Next.js, TypeScript, Tailwind, and Supabase Experience with APIs, RESTful design, and data modeling A collaborative mindset and genuine curiosity for AI innovation More ❯

AI/Machine Learning Engineer Agentic AI & LLM Systems Were partnered with a pioneering AI organisation pushing the boundaries of Agentic AI building systems where LLMs reason, act, and collaborate autonomously to drive real-world outcomes. As a Machine Learning Engineer , youll design the frameworks, tools, and data loops that allow intelligent agents to think, plan … Youll Bring: 4+ years experience in Machine Learning or AI , with exposure to LLM agent systems , tool-use frameworks, or generative AI. Advanced proficiency in Python and ML frameworks such as PyTorch or TensorFlow . Hands-on experience developing or fine-tuning LLaMA , GPT , or similar foundation models. Understanding of agentic architectures , chain-of-thought reasoning, and memory …/reflection mechanisms. Proven ability to debug, optimise, and scale ML experiments and compute pipelines. MSc or PhD in AI, Computer Science, or related field . Bonus Skills: Research track record (papers, open-source, Kaggle). Experience building back-end APIs or front-end interfaces for model annotation or experimentation. Contract Details: Competitive Rates (Outside IR35) 612 months (with likely More ❯

Erskine with the expectation to attend any of these offices when required. Project Description: We are seeking a highly experienced Data Scientist with deep expertise in Python and advanced machine learning techniques. You need to have a strong background in statistical analysis, big data platforms, and cloud integration, and you will be responsible for designing and deploying scalable … Implement MLOps practices, including CI/CD, model monitoring, and lifecycle management. Mentor junior data scientists and contribute to team knowledge-sharing. Stay current with trends in AI/ML and data science. Mandatory Skills Description: Minimum 8+ years of hands-on experience in Data Science with strong expertise in Python and libraries such as Pandas, NumPy, SciPy, Scikit-learn … analysts, leading projects, and contributing to knowledge-sharing across teams. Continuous learner with strong problem-solving, communication, and leadership skills, staying updated with the latest trends in AI/ML and data science. More ❯

ML Ops Engineer Remote (Occasional London Meetups) | Full-Time, Permanent | UK Based | Cannot sponsor Specialising in Azure ML, Data Integration & Scalable ML Ops Are you an experienced ML Ops Engineer with a passion for deploying scalable machine learning solutions in Azure? This remote-first role (with occasional meetups in London) offers the opportunity to work on impactful data … collaboration, and continuous learning. Please note: We are unable to offer visa sponsorship for this role. Applicants must have the right to work in the UK. Key Responsibilities Azure ML Operations : Design, deploy, and manage ML models in production using Azure ML . Data Integration : Build and maintain data pipelines using SQL and Azure Data Factory (ADF) . ML Ops … and manage version control using Git . Cross-functional Collaboration : Work closely with actuaries, analysts, and developers to translate data science into actionable insights. Innovation & Support : Stay current with ML trends and support team learning in tools and techniques. What Youll Bring Essential Experience: Strong hands-on experience with Azure ML or Azure-based production environments. Proficiency in Python More ❯

driven solutions. This is a hands-on role with broad impacttouching everything from model training and deployment to safety evaluation and infrastructure. Key Responsibilities: Design and implement NLP and ML systems for clinical and conversational applications Build and maintain data pipelines, model training, fine-tuning, evaluation, and deployment workflows Collaborate cross-functionally to translate clinical requirements into scalable technical solutions … Ensure safety, performance, and regulatory compliance of ML systems Contribute to technical strategy, architectural decisions, and mentoring within the ML team What Were Looking For Essential: 4+ years of hands-on experience in AI, ML, or NLP, ideally in a product setting Strong knowledge of large language models (LLMs), embeddings, fine-tuning, and evaluation methods Advanced Python skills and experience … with frameworks like PyTorch, TensorFlow, and HuggingFace Experience building full ML pipelines from data ingestion to deployment Solid software engineering practices including testing, version control, and CI/CD Strong communication and collaboration skills, especially with non-technical stakeholders Interest in applying AI to healthcare or other high-impact domains Nice to Have: Experience in healthcare, clinical AI, or medical More ❯

Founding Machine Learning Engineer - Rapidly Growing Start-Up - London Principal ML Engineer required to join the founding team on the design and deployment of cutting-edge AI systems. This is a hands-on, high-intensity role - perfect for someone who thrives in fast-moving, high-stakes environments and wants to help build from the ground up. Responsibilities Build … and deploy AI/ML systems that boost accuracy, speed, and user experience. Partner with domain experts to turn complex workflows into AI-driven automation . Leverage LLMs, LangChain, and RAG at scale. Ship quickly, iterate fast, and set the foundation for our engineering culture . Requirements 2+ years in AI/ML engineering or applied research. Proven track record … of delivering ML projects from idea production with measurable impact. Deep hands-on expertise with LLMs (fine-tuning, prompt engineering, evaluation, and deployment at scale). Hands-on experience with PyTorch/TensorFlow, LangChain, vector databases , or similar tools. Excellent communicator; comfortable working with non-technical stakeholders. Thrive in chaos and love building zero-to-one . This isnt just More ❯

frameworks that uncover actionable insights. Design and implement end to end data science workflows. Translate R&D concepts and exploratory analysis into production ready algorithms and reusable components. Build machine learning models and design experiments to optimise building performance and asset control strategies. Select, apply and evaluate appropriate data science techniques (e.g., regression, classification, clustering, anomaly detection) based … and innovation. Conduct exploratory research and develop prototypes or proof of concept solutions to test hypotheses or emerging techniques. Remain up to date with developments in Artificial Intelligence/Machine learning. Contribute to the development of internal best practices, processes and documentation, to increase team effectiveness and reusability of work. Evaluate and select the most appropriate data mining models … or equivalent. Skilled in SQL. Experience working as a data scientist, preferably on client facing software solutions, within optimisation or energy focussed applications. Strong foundation in statistical techniques and machine learning, including regression, classification, clustering, time series analysis and pattern recognition. Degree in a quantitative discipline such as Applied Mathematics, Statistics, Computer Science, Engineering or Physics. Desirable MSc More ❯

be involved in architecting scalable AI systems and collaborate closely with cross-functional stakeholders to translate business objectives into AI-driven solutions. As part of a small AI/ML dedicated team (sitting in the tech & product function), you will have a significant contribution to the design, development, and implementation of advanced AI/ML models, frameworks, and systems. A … notable part of the role involves building, training, and optimising machine learning models, including deep learning computer vision models, and fine-tuning natural language processing (NLP … and integrating third party generative AI models. Ideal background: 3+ years of experience in machine learning, deep learning or AI engineering Advanced proficiency in Python and ML frameworks like PyTorch Experience deploying and maintaining scalable production-grade AI systems Strong understanding of data pipelines, MLOps and cloud platforms (AWS and Azure) Experience working in small or mid More ❯

be involved in architecting scalable AI systems and collaborate closely with cross-functional stakeholders to translate business objectives into AI-driven solutions. As part of a small AI/ML dedicated team (sitting in the tech & product function), you will have a significant contribution to the design, development, and implementation of advanced AI/ML models, frameworks, and systems. A … notable part of the role involves building, training, and optimising machine learning models, including deep learning computer vision models, and fine-tuning natural language processing (NLP … and integrating third party generative AI models. Ideal background: 3+ years of experience in machine learning, deep learning or AI engineering Advanced proficiency in Python and ML frameworks like PyTorch Experience deploying and maintaining scalable production-grade AI systems Strong understanding of data pipelines, MLOps and cloud platforms (AWS and Azure) Experience working in small or mid More ❯

Agentic AI and GenAI solutions , from PoC to production, using agile methodologies and best practices. Expertise in Agentic AI platforms, especially LangGraph . Apply advanced analytical techniques, such as machine learning, natural language processing, computer vision, and deep learning, to extract insights and generate solutions from structured and unstructured data. Build data pipelines, models, and AI applications using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex and robust prompts across … and colleagues, using data visualisation, storytelling, and presentation skills. Ensure the ethical use of AI and adherence to data privacy regulations. Essential Skills and Experience Experienced in data science, machine learning and AI and delivering AI-driven solutions using a variety of tools and techniques Proficient in programming languages such as Python and familiar with data science, AI More ❯

Agentic AI and GenAI solutions , from PoC to production, using agile methodologies and best practices. Expertise in Agentic AI platforms, especially LangGraph . Apply advanced analytical techniques, such as machine learning, natural language processing, computer vision, and deep learning, to extract insights and generate solutions from structured and unstructured data. Build data pipelines, models, and AI applications using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex and robust prompts across … and colleagues, using data visualisation, storytelling, and presentation skills. Ensure the ethical use of AI and adherence to data privacy regulations. Essential Skills and Experience Experienced in data science, machine learning and AI and delivering AI-driven solutions using a variety of tools and techniques Proficient in programming languages such as Python and familiar with data science, AI More ❯

sports. The team are all using Computer Vision so an understanding of how this works is beneficial but not essential. In this role, you will: Deliver at scale: deploy ML models across cloud and edge platforms, scaling to thousands of simultaneous matches. Lead impactful projects: Own and drive initiatives that directly enhance the experience for athletes, coaches, and fans. Collaborate … skills: Deep experience with Python and/or C++, plus proficiency with Kubernetes, TensorRT, Nvidia DeepStream, Nvidia Jetson, and AWS. MLOps. Product-minded approach: Demonstrated success delivering AI/ML products in collaboration with cross-functional product teams. Scalable systems expertise: Solid track record building and managing AI/ML systems in production environments at scale. Nice to Have: Sports … tech experience: Background applying AI/ML in the sports domain for data generation or insights. Systems optimisation: Knowledge of GPU kernel development (CUDA, OpenCL, etc.), real-time system optimisation (e.g., Nvidia NSight), or experience working with embedded SoCs (Nvidia, Qualcomm, etc.). If you're interested in this role and feel you fit some of the requirements, then apply More ❯

asset trading book spanning metals, forex, and derivatives. The position combines system development, advanced analytics, and automation to enhance decision-making, risk management, and strategy execution, leveraging quantitative methods, machine learning, and close collaboration with trading and research teams. 6 Month rolling contract multi-year renewals Up to 950 per day, INside IR35 Hybrid working: 2 days in … Python or R experience Extensive Data Analysis and Statistical Modelling experience Experience with Dashboarding/Visualisation tools GRAFANA is HIGHLY PREFERABLE Derivative Business Knowledge Option pricing and modelling. BONUS Machine Learning or Neural networks METALS COMMODITY EXPERIENCE If you are interested in this Quant Dev role, please do reply to this ad with your updated CV or send More ❯

AI Engineer to join our Data and AI team . This role is ideal for someone who has a strong track record of designing, developing, and deploying AI/ML solutions in a business contextfrom ideation through to production. You will play a pivotal role in shaping and implementing advanced AI-driven insights and personalization strategies that optimize client engagement … and campaign performance across digital, CRM, and relationship management channels for our Financial Services client. Key Responsibilities End-to-End AI Solution Delivery: Lead AI/ML initiatives from conceptual design to production deployment, including problem scoping, data acquisition, model development, validation, deployment, and monitoring. AI-Driven Marketing Insights: Develop predictive and generative models to support audience segmentation, personalization, channel … Monitoring: Deploy models using MLOps practices and tools (e.g., MLflow, Airflow, Docker, cloud platforms) ensuring performance, reliability, and governance compliance. Innovation & Research: Stay current on advancements in AI/ML and proactively bring forward new ideas, frameworks, and techniques that can be applied to marketing use cases. Data Strategy: Collaborate with data engineering teams to ensure the availability of clean More ❯

Senior AI Engineer to join a dynamic team working on cutting-edge industrial and customer-focused AI initiatives. Key Responsibilities: Lead the design, development, and deployment of AI and machine learning solutions for enterprise environments. Apply advanced techniques such as deep learning, graph neural networks, object detection, sensor fusion, vector embedding, retrieval augmented generation, and generative AI. … and strategic thinking skills. Preferred Experience: Familiarity with industrial domains such as reliability, corrosion, WRFM, and process engineering. Exposure to customer platforms and trading ERP systems. Experience with Azure ML Studio, Foundry, or Databricks Mosaic. Knowledge of NLP, LLM deployment, Agentic AI (MCP, A2A, N8N), and RAG systems. This is a fantastic opportunity to work on high-impact AI projects More ❯

to data strategies, roadmaps, and vision for data enablement. Contribute to the development of best practices, toolkits, and reusable components. Mentor junior team members and support a culture of learning and innovation. Stay current with emerging technologies and methodologies. Work within agile delivery frameworks, contributing to planning, retrospectives, and sprint goals. Collaborate with cross-functional teams, including Product Managers … be able to work within a secure environment. Desirable Skills & Experience: Experience working on high-volume or high-performance data systems Exposure to real-time data processing, IoT, or machine learning pipelines. Knowledge of modern data mesh or data fabric principles. Experience with containerisation and orchestration (Docker, Kubernetes). Familiarity with infrastructure as code (Terraform, ARM templates, CloudFormation More ❯

to data strategies, roadmaps, and vision for data enablement. Contribute to the development of best practices, toolkits, and reusable components. Mentor junior team members and support a culture of learning and innovation. Stay current with emerging technologies and methodologies. Work within agile delivery frameworks, contributing to planning, retrospectives, and sprint goals. Collaborate with cross-functional teams, including Product Managers … be able to work within a secure environment. Desirable Skills & Experience: Experience working on high-volume or high-performance data systems Exposure to real-time data processing, IoT, or machine learning pipelines. Knowledge of modern data mesh or data fabric principles. Experience with containerisation and orchestration (Docker, Kubernetes). Familiarity with infrastructure as code (Terraform, ARM templates, CloudFormation More ❯

Product Manager Platform Intelligence, AI/ML As Product Manager for the Platform Intelligence team at Accelerant, you will define and lead the AI/ML product strategy across the Accelerant Risk Exchange platform. Youll work closely with Design, Engineering, and Decision Science to build tools that help participants across our platform make more informed decisions about selecting, pricing, and … and product thinking - and plays a critical part in enabling Accelerant to be a product-led organization. What You'll Do Strategy & Discovery Define and evolve the AI/ML strategy for our Risk Exchange platform in alignment with company objectives. Identify new ways to apply statistical and machine learning models to support risk selection, pricing, aggregation monitoring … quality, and support better decision-making. Youll Be Successful If You Have Required : At least 5 years experience as a Product Manager delivering commercial products that leverage AI/ML or advanced analytics. Background in data-rich product domains, with comfort in translating technical output into user-facing tools. Familiarity with P&C specialty insurance, especially underwriting or portfolio management. More ❯

Ensure robust data governance, security, and compliance. Troubleshoot and resolve complex data issues, delivering long-term solutions. Work with analytics, product, and engineering teams to support advanced analytics and machine learning initiatives. The skills youll need: Extensive experience designing and building large-scale data pipelines and ETL processes. Strong proficiency in SQL and Python. Deep understanding of data … give back to yourself or your community Cycle-to-work Scheme Pension scheme with employer contributions Life Assurance 3x base salary Rewards Programme access to discounts and cashback LinkedIn Learning Licence for upskilling & development Ready to Apply? Please apply with your latest CV. Know someone whod be great for this role? We offer a referral schemejust get in touch More ❯

retail sector) with clients in the USA, Europe and LATAM. We are advisors, engineers, and designers solving industrial challenges with innovative technologies. We are acknowledged for our expertise in Machine Learning, AI, Robotics, IoT, XR, and Big Data. Our recognition extends to industry leaders including Nvidia, Google, Amazon, and Microsoft, as well as key players in diverse business … with 5+ years of experience using DES Simulation software, preferably AnyLogic or FlexSIM Educated in Mechanical Engineering, Mathematics, Computer Science, Physics, or a related field, and excited about continuous learning Skilled at designing and conducting experiments and 'what-if' scenarios to deliver actionable insight Experienced with discrete event simulation using Python (libraries such as SimPy, PySim, Simulus, and optimization … approaches that redefine industrial processes, leveraging the latest technologies and methodologies Stay at the cutting edge of technological innovation by learning, applying, and shaping advancements in AI/ML, IoT, and next-generation simulation technologies TOGETHER WE WILL Play a pivotal role in transforming global industries through advanced simulation and Digital Twin solutions Deliver transformative, high-profile projects that More ❯