1 to 25 of 59 Machine Learning Jobs in Bath

learning models that power data-driven products and business solutions. This role bridges data science and software engineering, focusing on production-ready ML systems, scalability, and performance. The ideal candidate has strong experience in Python, ML frameworks, data pipelines, and cloud platforms, and is comfortable working … unsupervised, and deep learning techniques as appropriate. Perform feature engineering, model tuning, and validation to improve accuracy and performance. 2. Productionisation & Deployment Deploy ML models into production using scalable, reliable architectures. Build and maintain APIs or batch pipelines for model inference. Monitor model performance, data drift, and retraining needs. ...

individual have the drive and experience to transfer knowledge Strong Modelling experience Must have Model Productionisation experience Have prior pricing knowledge or have delivered ML techniques to existing pricing models. Financial Services or Insurance experience would be preferable but not limited to. Full Tech Stack - Databricks, PySpark, Microsoft Azure, Azure … ML, Azure Stream Analytics, Cognitive Services, Event Hubs, Synapse, Data Factory. This is a fantastic role for an experienced Machine Learning Engineer or Pricing Optimisation Manager with a passion for innovation, optimisation and model productionisation. Location: UK Remote Salary: Up to £80,000 + excellent benefits Applicants MUST ...

semi-autonomous agents using modern agent frameworks and Google AI tooling. Collaborate with product and engineering teams to translate complex business requirements into ML-driven solutions. Monitor, optimise, and continuously improve models in live production environments. Contribute to the architecture and evolution of the AI platform and supporting data infrastructure. … Stay current with emerging research, tools, and best practices across ML and Generative AI. What We're Looking For Essential 5+ years' experience in machine learning engineering or applied AI roles. Recent, demonstrable experience with LLMs, Generative AI, and/or RAG-based systems. Strong Python skills using ...

Machine Learning Engineer | Python | Pytorch | Natural Language Processing | LLM | Large Language Models | Remote, Europe About Us We build AI assistants that make technical knowledge instantly accessible. As a research engineer, you will work on advancing our system's ability to answer increasingly complex technical questions. Our technology … techniques (e.g., lexical search, dense vector search) Comfort working in a fast-moving environment with ambiguous problem spaces A desire to learn more about ML research Please note that this position is fully remote in Europe but you MUST have the right to work in your country of residence. Machine ...

Machine Learning Engineer Location: Remote - UK Permanent Salary: £90-100K per year + benefits Start Date: Immediate WRK digital is proud to partner with a fast-growing technology startup building solutions that combine human expertise and AI agents to automate complex operational workflows. The organisations mission … Virtual Agent platform in line with product strategy. · Ensure AI services maintain high standards of performance, reliability, and scalability. · Participate in internal ML community, influencing how we implement AI and computer vision technologies. · Take ownership of customer outcomes and contribute across software engineering, DevOps, and MLOps functions. About ...

Research Engineer (ML) Remote (UK) £90,000 – £120,000 + generous equity Company Overview: We're working with a well-funded early-stage BioAI company applying machine learning to a challenging biological problem with real impact on sustainability and food security. The team is building an ML-first … actively used by scientists to guide real experimental decisions. The Role: They are looking for a Research Engineer who will work closely with ML scientists, chemists, and biologists to design, implement, and evaluate new modelling approaches. Your focus will be on building models, running experiments, validating results, and ensuring that ...

with cross-functional teams at all stages, to turn insights into impactful products. In this role you will Work end-to-end on new ML models from development through to training and optimising Work closely with a small team of data scientists, engineers and product managers Implement scalable data pipelines … conduct performance evaluations of models What we're looking for 3+ years of industry or research experience Python and SQL proficiency, with experience using ML frameworks e.g PyTorch Experience with Azure cloud Driven to progress within a growing SME What our client are offering £70,000 - £80,000 salary ...

Lecturer/Senior Lecturer in Artificial Intelligence (Machine Learning, NLP, Reinforcement Learning, and AI Security) The Department of Computer Science wishes to appoint academics to strengthen our growing Artificial Intelligence and Machine Learning Research Group. We welcome strong applications from all areas … machine learning. We are particularly keen to recruit in Natural Language Processing, Reinforcement Learning and/or AI Security. Appointments may be at Lecturer or Senior Lecturer. We are a highly collaborative team, working not only with other researchers in our department but across the university and beyond. ...

seeking a hands-on Machine Learning Senior Staff Engineer to lead cross-functional teams building and deploying cutting-edge LLM and ML systems. In this role, you'll drive the full lifecycle of AI development — from research and large-scale model training to production deployment — while mentoring … that break the models and navigating the intersection of research, engineering, and product delivery. Roles & Responsibilities: Lead and mentor a cross-functional team of ML engineers, data scientists, and MLOps professionals. Oversee the full lifecycle of LLM and ML projects — from data collection to training, evaluation, and deployment. Collaborate with ...

Lecturer/Senior Lecturer in Artificial Intelligence (Machine Learning, NLP, Reinforcement Learning, and AI Security) The Department of Computer Science wishes to appoint academics to strengthen our growing Artificial Intelligence and Machine Learning Research Group. We welcome strong applications from all areas … machine learning click apply for full job details ...

planners interact with intelligent systems across optimization, allocation, and planning workflows. While the product is moving towards agentic, our agents remain grounded in machine learning and complex mathematical models (e.g., econometrics, reach modelling). Success in this role depends on bridging the best of both worlds: machine … grow the Data Science team, fostering technical excellence, collaboration, and an iterative, prototype-driven culture. Requirements 8+ years of experience designing and deploying applied ML or AI systems into production, with at least 3+ years leading data science teams. Fluent in Python and a strong interest in general software engineering ...

growing, AI-driven product company. This is a hands-on role with real ownership, working closely with engineering and product to build and deploy machine learning models that directly impact the business. Key Responsibilities Own the end-to-end data science lifecycle (from problem definition to monitoring) Build … deploy, and maintain machine learning models in production, including Computer Vision applications Collaborate with Product and Engineering on data-driven solutions Lead experimentation, optimisation, and model evaluation Contribute to technical direction and best practices Mentor Junior Data Scientists Key Skills & Experience Strong commercial experience as a Data Scientist ...

including Financial Services, Resources, Products, Communications and Health & Public Services. In our team you will learn: How to help clients to use AI/ML technologies to solve business challenges How to design, develop, deploy, and run high quality AI/ML solutions across a range of industries with varying … experience of using emerging technologies on client deliveries and through research. We are looking for experience in the following skills and experience: AI/ML platform technologies and services such as Sagemaker/Vertex/Azure ML, OpenAI, Langchain, AutoML, OCR, STT, feature stores, vector DB. Implementation of AI/ ...

teams to ensure seamless, scalable, and reliable machine learning solutions in production environments. Key Responsibilities - Pipeline Development: Build and maintain scalable ML pipelines automating training, testing, deployment, and monitoring. - Model Deployment: Collaborate with data scientists to deploy ML models securely and reliably. - CI/CD Integration: Maintain …/CD processes for ML models with version control. - Infrastructure Management: Set up and manage cloud-based and on-prem ML infrastructure. - Monitoring & Maintenance: Ensure high availability and performance of deployed models with automated monitoring, logging, and alerting. - Collaboration: Work with cross-functional teams to deliver solutions that meet technical ...

Lead ML Ops Specialist **UK Remote • Contract • Outside IR35** I'm supporting an organisation in the iGaming space as they build and launch a completely new AI and Automation platform across their UK and International estate. They operate multiple brands across two platforms and are now integrating everything under … driven strategy — and they need a Lead ML Ops specialist to help drive it. This is a senior, hands on consulting role shaping how Machine Learning is deployed, scaled and monitored across the business. You'll work directly with their AI Ops team to define the platform, establish ...

delivered proper, end-to-end data science work in a commercial setting. You'll need; A track record of delivering Data Science or Machine Learning solutions. Strong Python skills (or R) and experience with commonly used libraries. Solid SQL and experience working … with cloud data platforms (Azure preferred). Experience deploying models or pipelines using Databricks (or similar). A good grounding in core DS/ML techniques and the ability to turn data into meaningful insight. Experience working with LLMs or similar modern approaches. Confidence working with stakeholders and explaining technical ...

Role Summary We are seeking a creative and skilled AI Engineer to help drive Unlinks mission of transforming justice services through advanced AI and machine learning. You will work on meaningful, high-impact projects—like predictive analytics for offender risk, behavioural monitoring, secure communications enhancement, and operational optimization—ensuring … nature of justice services. Person Specification Must-Have: Degree in Computer Science, AI, Data Science, or equivalent experience. Strong Python skills, with experience in ML libraries like TensorFlow, PyTorch, scikit-learn. Solid understanding of ML principles, algorithms, and their deployment in production. Experience with cloud platforms (AWS, GCP, Azure ...

hands-on delivery of technical solutions. Proven track record of delivering and managing innovation programs, AI solutions is a plus. Strong understanding of Machine Learning, cloud platforms and digital platforms is essential. Experience in working with multiple third-party vendors and partners to deliver complex solutions. Team building ...

Will get to work on numerous challenging and exciting projects on our various offerings including Salesforce, AI/Data Science, Generative AI/ML, Automation, Cloud Enterprise and Product/Platform Engineering. At Ascendion you have high chances of project extension or redeployment to other clients. Additionally, you can also ...

technology company operating at the intersection of healthcare and legal technology. This role exists to build the core data platform that underpins AI and machine learning work. The business is moving beyond fragmented data and needs someone who can design and deliver a structured, secure and compliant data … Looking For Strong experience as a Data Engineer in production environments Strong Python and SQL Experience building data platforms that directly support AI or ML teams Solid understanding of AI data lifecycles (datasets, versioning, drift, reproducibility) Experience with Azure-based data platforms Experience with containerisation (Docker, Kubernetes) Strong understanding ...

MLOps workflows. · Work across internal products and contract-based venture projects. Requirements · Strong foundational programming skills in Python. · Basic understanding of AI/ML models and how they are trained, deployed, and run. · Familiarity/understanding with version control software (git). · Ability to work in a fast-moving environment ...

Azure, Microsoft ecosystems) Ensuring effective microsegmentation, access controls, RBAC, MFA enforcement and privileged access hygiene Driving secure design and deployment of AI/ML systems, including: AI security architecture Data protection and threat modelling Risk assessments (data poisoning, adversarial attacks, model bias) Monitoring and compliance for AI security Managing vulnerabilities ...

sales/solutions consulting/technical consulting roles, especially in the Financial Services or Wealth Management space. Strong technical background: experience with machine learning, LLMs and AI systems; understanding of data pipelines, integrations, APIs, security and compliance sensitive environments. Ability to design solutions vs just selling features: architectural … career growth opportunities 34 days holiday plus your birthday off (inclusive of bank holidays) Share options – we believe in shared success Skills development – continuous learning is at our core, expect the development to be front and centre of everything you do Remote and flexible working – remote, co-working spaces ...

looking for candidates with a range of skills and experience, please apply even if you don't meet all the criteria. Enthusiasm for learning and self-development Proficiency in Git (inc. Github Actions) and able to explain the benefits of different branch strategies Gathering and meeting the requirements … engineers using a variety of techniques such as pair programming or mob programming. Working with data scientists to productionise advanced data deliverables, such as machine learning models Working knowledge of statistics Working with multidisciplinary digital and technology teams Working within the public sector An increasing number of their ...

Responsibilities: You will lead the review of client applications and their technology and product strategy. You will monitor emerging technologies, including AI, GenAI and machine learning trends, assessing their relevance and potential application within client solutions and strategies, and provide recommendations on adoption and integration opportunities. You will ...