76 to 100 of 112 Machine Learning Jobs in Bolton

want to help scale something from zero to one, this is the role for you. We're looking for: Strong product-focused AI/ML engineering experience Experience fine-tuning LLMs and generative AI models Ideally, you'll have experience building voice agents (TTS, STT) Entrepreneurial, independent, and ready to More ❯

Data/ETL Testing Ensures accurate data flow, transformation, and validation in data pipelines. Works with SQL, Informatica , Talend , SSIS , Snowflake . AI/ML Model Testing Test models for accuracy, bias, and performance. Involves validating model predictions, fairness, and ethical AI compliance. Seniority Level Associate Industry IT Services and More ❯

business acumen and commercial awareness Experience communicating to different personality types, scenarios and managing high pressure scenarios. A passion for technology and AI/ML Innovative and take risks to create new processes and create efficiencies Comfortable in giving and receiving constructive feedback Comfortable working in a start up-like More ❯

that need. Ideally you'll come from a customer-focused background, and whilst they won't expect you to be an out-and-out Machine Learning expert, you should understand how models work and how to use their results in real-world situations. Key responsibilities: Understand the requirements … new clients and configure solutions Work with the broader team to direct what new/changes are required to provide the foundation of a ML solution Work to flesh-out a model - adding logic, enhancements, and/or information to improve performance Test the overall solution to see how it … performs Key experience: Python (NumPy/OpenCV)/PyTorch/TensorFlow Good understanding of AI/ML Models (DeepLearning/Computer Vision) CI/CD TDD Linux Why join them: Be part of a thriving, well-funded start up - more than typical routes for growth/progression Remote working More ❯

such as improving the sophistication of models and deploying the latest data science techniques. This vacancy can be fully remote. Responsibilities: Building predictive/machine learning models Predict perils for claims/severity Producing reports and presentations to communicate the results of actuarial analyses to key stakeholders Requirements More ❯

issues into simple terms Ability to analyse structured/unstructured data, especially video and metadata Bonus Points for: Exposure to AI, computer vision, or ML systems Familiarity with Go, Python, or similar languages Knowledge of retail tech or self-checkout systems Experience using video analysis tools or support ticketing platforms More ❯

React, TypeScript, Python, and Node) Exposure to cloud-native architecture and devops tooling Comfortable working with APIs, building secure, scalable software Bonus: Experience with ML/AI tooling or early-stage product environments 🎯 What’s on Offer Up to £90k + generous equity (pre-allocated options pool) Full autonomy and More ❯

Build Your Own Division in AI, Robotics & Emerging Tech 🤖 Join a highly successful technology & engineering recruitment business with a dedicated focus on AI/ML, Computer Vision, Robotics, and Autonomy . The company has made a significant impact in these high-growth markets and is looking for an experienced international More ❯

scalable, intelligent applications that serve thousands of users. Responsibilities: Design, develop and maintain robust backend systems using Ruby (Rails or Sinatra) Integrate AI and machine learning tools/APIs into our applications (e.g. OpenAI, Hugging Face, TensorFlow or custom models) Collaborate with frontend developers, data scientists and product More ❯

AI-powered services and client packages. Qualifications: Proven experience delivering successful AI and automation projects in a commercial environment. Deep knowledge of AI technologies, machine learning frameworks, and automation tools. Strong leadership and team management skills, with experience building and guiding high-performing teams. Excellent communication skills, with More ❯

relational/non-relational databases A proactive, product-minded approach with a desire to move fast Really nice to have - Interest in AI/ML concepts and modern API tools (GraphQL, tRPC , etc.) Location: Remote within Europe - quarterly team meetings in London. This role does not provide sponsorship and you More ❯

with a HealthTech company in Cambridge who are seeking a Salesforce Developer with life sciences experience to join their team. Utilising genomics, AI, and machine learning to revolutionise the healthcare industry, they need you to come in and support their one-of-a-kind product aimed at reducing More ❯

Join an innovative, rapidly expanding company at the forefront of the RISC-V revolution developing IC that has high-impact applications across machine learning, aerospace and automotive. Flat structure with a highly diverse workload and excellent benefits. Senior Verification Engineer Responsibilities: Develop and maintain verification infrastructure in collaboration More ❯

understand their challenges. You will then use your experience to advise on solutions that can benefit the business and help improve performance using AI, ML and Advanced Analytics. The client is committed to becoming leaders in their industry within the UK and is renowned for offering fantastic opportunities to move … monitor on-going performance, making changes where necessary To be successful in this role you will have . Commercial experience working in AI/ML Strong programming skills with Python and other languages such as R or Java Strong cloud experience in an Azure environment (AWS or GCP also beneficial More ❯

teams and client projects. Ideal Candidate Profile Agentic Experience: Proven experience building agent workflows using frameworks such as LangChain, LangGraph, or equivalent. AI/ML Expertise: Solid understanding of large language models (LLMs), embeddings, vector search, and prompt engineering. Software Engineering Skills: Strong programming skills in Python (AI pipelines) and … production environments, including performance monitoring and optimization. Collaboration & Agility: Comfortable working in fast-paced, cross-functional teams. Experimental Approach: A passion for rapid iteration, learning from experiments, and data-driven development. Preferred Qualifications Experience designing RAG (Retrieval-Augmented Generation) or CAG systems using vector databases and hybrid retrieval techniques. More ❯

Salesforce (SFDC Sales Cloud), Google Analytics, or Airtable Experience with finance-related data marts (e.g. forecasting, P&L) Exposure to predictive analytics and building machine learning-ready datasets 🎯 Ready to take the next step in your data engineering career? Apply now and be part of a forward-thinking More ❯

company is seeking a Data and Ai Product Manager to take charge of the development of data and AI-driven reporting features within its learning and compliance software platform. This role focuses on shaping the product roadmap, collaborating across teams, and delivering innovative solutions that provide value to customers … Ability to manage multiple projects in a fast-paced environment. Passion for building products that solve real customer problems. Experience with Generative AI or Machine Learning. Great to have: Background in education, compliance, or energy sectors. Familiarity with product management and design tools (e.g., Jira, Confluence, Miro). Understanding More ❯

working with LLMs, agentic frameworks, and modern backend tools in a remote, collaborative setup. What you'll need: Strong Python engineering background (AI/ML or backend) Experience building with LLMs (LangChain, LlamaIndex, or LangGraph) Familiar with vector databases for embedding/indexing with images, audio, text and video Familiar … with different multi-agent system patterns Comfortable with FastAPI or Flask Strong cloud experience (GCP or AWS) Nice to have: GCP experience Background in ML projects Experience working on data-heavy applications Familiarity with CI/CD pipelines If you're available from 19th May and interested in a short More ❯

ll lead the design and implementation of software systems that run distributed, low-latency inference across clusters. You’ll work closely with hardware and ML teams to optimise every layer of the stack—from model representation and execution to data movement and scheduling. Whether it’s through compiler techniques, systems … scientific compute, or AI infrastructure at serious scale, we’d love to talk. Responsibilities Design and build high-performance systems for running AI/ML workloads across distributed compute clusters Optimise for ultra-low latency and real-time inference at scale—profiling, tuning, and rewriting critical systems as needed Identify … using tools like LLVM or MLIR Work with hardware teams to ensure the software stack fully leverages the capabilities of our OTPU architecture Extend ML frameworks (e.g. PyTorch, ONNX, OpenXLA) to better support performance-critical inference paths Lead design reviews, mentor engineers, and promote best practices in HPC and performance More ❯

hybrid and multi-cloud environments. Over the past decade, they’ve evolved from bespoke cloud consulting to a platform-led approach — offering cost intelligence, ML-powered recommendations, and deep cloud integrations. They are a founding member of the FinOps Foundation, a key voice in the emerging BillOps space, and are … data pipeline tools • Knowledge of FinOps practices or cost intelligence platforms • Experience contributing to open-source platforms or cloud-native communities • Working knowledge of ML or AI-led querying and optimization techniques Why Join? • Shape the early foundations of a new product engineering function in the UK • Work directly with More ❯

all things Knowledge Graph related Independently determine appropriate data and modelling choices. Effectively communicate with technical and non-technical stakeholders. Follow best practices for ML experimentation and MLOps. Required Qualifications: PhD in a relevant discipline or Master’s plus a comparable level of experience Experienced in Knowledge Graphs Experience with … traditional ML models and feature engineering. Experience with LLMs. Strong programming skills (e.g., Python) and experience with modern ML frameworks (e.g., PyTorch, TensorFlow, LangChain). Collaborating with other Researchers, Product, Engineering and Business Stakeholders in an agile manner to demonstrate value and iterate with customer feedback. For immediate consideration, please More ❯

Senior AI Engineer Key Highlights • AI/ML Solutions: Built scalable AI tools and pipelines (e.g., fine-tuning BERT, multimodal ML models) and delivered measurable improvements like a 10% boost in classification accuracy. • System Modernization: Proficient in optimizing workflows, reducing technical debt, and modernizing legacy systems. • Automation and Efficiency: Developed More ❯

Join a dynamic, VC-backed startup that is revolutionising risk and compliance management in electronic communications using AI and ML! We're looking for a Senior Site Reliability Engineer who is deeply passionate about technology and looking to play a pivotal role in ensuring the availability, security, and efficiency of … meetups in various locations across the globe Annual meet up Equipment supplied 25 days holiday + bank holidays If you have a passion for learning new tech and the desire to work in a collaborative, low-management-overhead environment, I'd love to hear from you. More ❯

numi are proud to be working with an company looking for an AI Engineer to help integrate cutting-edge AI into their Learning Technologies products. This role is all about turning AI research into real, impactful product features. What You’ll Be Doing Building & integrating AI models – Design, develop … leadership – Break down complex AI concepts for different audiences and help upskill teams in AI tech. What They’re Looking For Solid AI/ML experience with a strong grasp of Python & frameworks like TensorFlow/PyTorch . Strong back-end engineering skills (Python or Node.js, bonus points for React More ❯

system behind it in a tight feedback loop with leadership, production and our customers. This team is tackling some great challenges, for instance, using ML/AI to help customers get ahead of demand fluctuations with a state-of-the-art forecasting tool. What we’re seeking in successful candidates … Experience in Workforce Management or Scheduling tools would be desirable. Benefits include: 35 days of paid leave per year Equity Comprehensive private health insurance Learning & Development budget of up to £1000 Annual trips across Europe Unfortunately, this role doesn’t provide sponsorship. Sounding good? To apply for the job More ❯