1 to 25 of 46 Machine Learning Jobs in the South West

Machine Learning Operations Engineer - Remote - £50-£70k + excellent benefits We're looking for a skilled Machine Learning Operations Engineer to join a newly established team working on an exciting data platform project. This is a hands-on role where you'll help build and maintain the infrastructure that supports machine learning models in … a live environment. What you'll be doing as the Machine Learning Operations Engineer: Developing and maintaining API services using Azure and Databricks Managing caching layers with Azure Cache (Redis) Using Delta Live Tables for data processing and analytics Integrating with cloud-based data storage solutions like Snowflake Collaborating with cross-functional teams in an agile environment Supporting … to-end testing Writing pipeline code and managing deployments via Azure DevOps (GitHub) What we're looking for from the Machine Learning Operations Engineer: Solid experience in ML Ops, particularly with Azure and Databricks Familiarity with Postgres, Redis, and Snowflake Understanding of Delta Lake Architecture, Docker, and container services Experience building and orchestrating APIs Strong problem-solving and More ❯

Machine Learning Operations Engineer - Remote - 50- 70k + excellent benefits We're looking for a skilled Machine Learning Operations Engineer to join a newly established team working on an exciting data platform project. This is a hands-on role where you'll help build and maintain the infrastructure that supports machine learning models in … a live environment. What you'll be doing as the Machine Learning Operations Engineer: Developing and maintaining API services using Azure and Databricks Managing caching layers with Azure Cache (Redis) Using Delta Live Tables for data processing and analytics Integrating with cloud-based data storage solutions like Snowflake Collaborating with cross-functional teams in an agile environment Supporting … to-end testing Writing pipeline code and managing deployments via Azure DevOps (GitHub) What we're looking for from the Machine Learning Operations Engineer: Solid experience in ML Ops, particularly with Azure and Databricks Familiarity with Postgres, Redis, and Snowflake Understanding of Delta Lake Architecture, Docker, and container services Experience building and orchestrating APIs Strong problem-solving and More ❯

Operations Engineer to spearhead the development and optimisation of our cutting-edge data platform. This is a strategic, hands-on leadership role where you'll guide a growing ML Ops team, architect scalable infrastructure, and ensure seamless deployment and monitoring of machine learning models in production. What you'll be doing as Lead ML Ops Engineer: Leading … the design and implementation of robust ML Ops pipelines using Azure, Databricks, and Delta Lake Architecting and overseeing API services and caching layers (e.g., Azure Cache for Redis) Driving integration with cloud-based data storage solutions such as Snowflake Collaborating with data scientists, engineers, and product teams to align ML infrastructure with business goals Establishing best practices for model deployment … GitHub Mentoring junior engineers and fostering a culture of technical excellence and innovation What we're looking for from the Machine Learning Operations Lead: Proven experience in ML Ops leadership, with deep expertise in Azure, Databricks, and cloud-native architectures Strong understanding of Postgres, Redis, Snowflake, and Delta Lake Architecture Hands-on experience with Docker, container orchestration, and More ❯

Operations Engineer to spearhead the development and optimisation of our cutting-edge data platform. This is a strategic, hands-on leadership role where you'll guide a growing ML Ops team, architect scalable infrastructure, and ensure seamless deployment and monitoring of machine learning models in production. What you'll be doing as Lead ML Ops Engineer: Leading … the design and implementation of robust ML Ops pipelines using Azure, Databricks, and Delta Lake Architecting and overseeing API services and caching layers (e.g., Azure Cache for Redis) Driving integration with cloud-based data storage solutions such as Snowflake Collaborating with data scientists, engineers, and product teams to align ML infrastructure with business goals Establishing best practices for model deployment … GitHub Mentoring junior engineers and fostering a culture of technical excellence and innovation What we're looking for from the Machine Learning Operations Lead: Proven experience in ML Ops leadership, with deep expertise in Azure, Databricks, and cloud-native architectures Strong understanding of Postgres, Redis, Snowflake, and Delta Lake Architecture Hands-on experience with Docker, container orchestration, and More ❯

Machine Learning Engineer £60000-90000 GBP Onsite WORKING Location: Gloucester, South West - United Kingdom Type: Permanent Machine Learning Engineer - Defence & Security £60,000 - £90,000 | Gloucester Area | Hybrid (2-3 days on-site as required) To be eligible, candidates must hold sole British nationality and have active SC Clearance. Do you want to take cutting-edge … requirements and translate them into practical solutions. Provide guidance and leadership to junior engineers, championing best practice and technical standards. What We're Looking For Strong experience across the ML lifecycle, including deploying models built in frameworks such as TensorFlow, PyTorch or Scikit-learn. Solid software engineering skills, with strong Python programming experience. Hands-on knowledge of cloud platforms (AWS … hear more about the Senior Machine Learning Engineer opportunity, get in touch with Connor Smyth at Anson McCade on 020 7780 6706. Reference: AMC/CSM/ML Postcode: GL50 1EP #cosm More ❯

Senior Machine Learning Engineer £90000-110000 GBP Hybrid WORKING Location: Gloucester, South West - United Kingdom Type: Permanent Senior Machine Learning Engineer - Defence & Security £90,000 - £110,000 | Gloucester Area | Hybrid (2-3 days on-site as required) To be eligible, candidates must hold sole British nationality and have active SC Clearance. Do you want to take … cutting-edge machine learning out of the lab and into real-world systems that strengthen security? This is an opportunity to join a fast-scaling AI consultancy that is redefining how advanced AI is deployed across Defence. What You'll Do Lead the design and deployment of machine learning infrastructure and software for Defence programmes. Build … requirements and translate them into practical solutions. Provide guidance and leadership to junior engineers, championing best practice and technical standards. What We're Looking For Strong experience across the ML lifecycle, including deploying models built in frameworks such as TensorFlow, PyTorch or Scikit-learn. Solid software engineering skills, with strong Python programming experience. Hands-on knowledge of cloud platforms (AWS More ❯

Senior Machine Learning Engineer £90000-110000 GBP Hybrid WORKING Location: Gloucester, South West - United Kingdom Type: Permanent Senior Machine Learning Engineer - Defence & Security £90,000 - £110,000 | Gloucester Area | Hybrid (2-3 days on-site as required) To be eligible, candidates must hold sole British nationality and have active SC Clearance. Do you want to take … cutting-edge machine learning out of the lab and into real-world systems that strengthen security? This is an opportunity to join a fast-scaling AI consultancy that is redefining how advanced AI is deployed across Defence. What You'll Do Lead the design and deployment of machine learning infrastructure and software for Defence programmes. Build … requirements and translate them into practical solutions. Provide guidance and leadership to junior engineers, championing best practice and technical standards. What We're Looking For Strong experience across the ML lifecycle, including deploying models built in frameworks such as TensorFlow, PyTorch or Scikit-learn. Solid software engineering skills, with strong Python programming experience. Hands-on knowledge of cloud platforms (AWS More ❯

work experience. • Experience in leading a small team and managing projects. • Have industry experience as a data scientist, working with Natural Language Processing (NLP)/Machine Learning (ML)/GenAI models, and having extensive production experience in Python. • Advanced experience in applying deep learning, machine learning, analytical techniques, data processing, clustering, regression, and classification to … create ML models that will help business stakeholders understand unstructured data and semi-structured data within the organisation. • Proven track record of creating ML/LLM Ops and end-to-end pipelines on both on-premises and cloud platforms. • Experience in leading enterprise-level projects, with the ability to automate and enhance the current modelling structure. • Effective performance under pressure …/adopt new open-source technologies emerging in the industry. • Extensive coding/scripting experience (Python) developed in a commercial/industry setting. • Strong theoretical and applied knowledge of Machine Learning techniques, especially in the Natural Language domain or when working with other unstructured data. • Solid understanding of Python, including writing modular Pythonic code, familiarity with core Python More ❯

of the business, with key deliverables to increase conversion, retention and overall company income and profitability. The role will involve the management of detailed analysis of data using sophisticated machine learning and statistical techniques within price optimisation to recommend pricing actions which increase volume, income and profit. In addition, the Lead Pricing Analyst will build pricing capability and … of retail pricing in the wider Ageas UK Group. Main Responsibilities as Lead Pricing Analyst - Market: Management, development and coaching of Pricing Analysts. Develop, validate, review, and approve predictive machine learning models; exploring new machine learning techniques to improve model predictiveness. Development and delivery of up to date and accurate datasets for modelling, pricing and monitoring … out price optimisation and improve on existing price optimisation processes using innovative techniques; prepare recommendations for senior stakeholders. Maintenance and application of models of customer and market behaviour; incorporating machine learning into behavioural models. Skills and experience you need as Lead Pricing Analyst - Market: 3+ years’ experience in insurance pricing or related analytical background. Highly skilled in the More ❯

a forward-thinking consultancy that’s transforming how the built environment is designed and delivered. Their digital team is at the heart of this change, using data, simulation, and machine learning to enable smarter, more sustainable decisions. The Opportunity A brand-new role is available for a Simulation & Analysis Product Lead to join their Digital team. You’ll … blends product leadership, building physics, and cutting-edge tech: Lead the development of computational, simulation, and machine learning features within the platform. Oversee products such as Kaleidoscope (ML for rapid early-stage design analysis) and SAM (Sustainability Analytical Model). Work with stakeholders to prioritise features and ensure quality delivery. Collaborate with software developers, data scientists, and the … to research and validate new ideas and emerging technologies. A collaborative, open-minded approach and the ability to support others. Desirable: Agile product management, Python or similar coding experience, ML testing and evaluation, product ownership background. What’s in it for you? Hybrid working with flexibility nationwide. A progressive, inclusive environment with real scope for innovation. Competitive benefits including private More ❯

the primary architect of their culture. Your mission is to build an environment of high psychological safety where curiosity and experimentation thrive, and where intelligent failures are celebrated as learning opportunities. You will be the coach and mentor who guides the team through the inherent ambiguity of research and discovery, empowering them to tackle immense technical challenges and deliver … fairness and ethical AI are at the core of everything your team creates. What will you bring to the team? Hard skills: Technical Expertise: Advanced proficiency in data science, machine learning, and/or operations research methodologies, with extensive experience applying these techniques in production environments. Project Leadership : Proven experience leading complex technical projects, with a track record … in Python and SQL, with a strong grasp of software development best practices (testing, git, code reviews). Real-Time Systems Experience : Experience with real-time data integration and machine learning frameworks is highly beneficial. Modern AI Acumen : Familiarity with the principles and applications of modern AI, including Large Language Models (LLMs) and generative AI, is a strong More ❯

such as TDD, continuous integration, continuous delivery, and DevOps. You will also keep up to date with the latest technologies and trends, whilst delivering working software early and often, learning new languages and frameworks and picking the right solutions. We rely on: Azure for our infrastructure and deployment. Docker and Azure App Services to host our digital transformation services. … and communication skills. Experience of identifying, locating and competently fixing faults. Experience of other Cloud platforms, programming languages, and frameworks (e.g. AWS, VueJS, Express). Experience of Azure AI & Machine learning services. Behaviours We'll assess you against these behaviours during the selection process: Developing Self and Others Delivering at Pace Changing and Improving Working Together Technical skills … and communication skills. Experience of identifying, locating and competently fixing faults. Experience of other Cloud platforms, programming languages, and frameworks (e.g. AWS, VueJS, Express). Experience of Azure AI & Machine learning services. More ❯

AI powered platform development: Lovable, Replit, Bolt APIs & Microservices: RESTful APIs, GraphQL, microservice architectures Cloud & DevOps: AWS, Azure, or GCP; Docker; CI/CD pipelines Data Integration: Products integrating ML/AI models, databases, BI tools UI/UX Awareness: Collaborate on interfaces, data visualisation, user journeys Other: Version control (Git/GitHub), testing frameworks, security & optimisation Experience That Helps … track record of building client-facing products Proven experience in rapid prototyping, innovation labs, or product R&D teams Commercial experience with AI enabled products using GenAI (LLMs) or Machine Learning Familiarity with compliance, retail, FMCG, or operational intelligence systems (advantageous) Prior startup or SME experience where engineers own end-to-end delivery is highly valued Whats in More ❯

methods (sprints, MVPs) to deliver validated concepts collaboratively. Engineer the Future: Build scalable experimentation pipelines; ensure smooth handover to production systems. Research and pilot emerging technologies (GenAI, LLMs, advanced ML frameworks). Champion Data Innovation: Be Serve Legals in-house data evangelisttranslating complexity into clear, client-ready insights. Influence leadership with strategic ideas for new revenue and services. Core Skills … Science: Python (Pandas, NumPy, scikit-learn, TensorFlow or PyTorch) essential; R (desirable) Data Engineering & Cloud: Advanced SQL, ETL/ELT tools (Airflow/dbt), AWS/Azure/GCP Machine Learning & AI: Classification, regression, clustering, forecasting; NLP (text mining, sentiment, LLM fine-tuning); GenAI frameworks Analytics & Visualisation: BI tools (Power BI, Tableau, Looker), interactive dashboards, prototypes Productisation & Deployment More ❯

decision-making. • Present findings through clear dashboards, presentations, and reports tailored to both technical and non-technical audiences. • Stay ahead of emerging tools, techniques, and best practices in data, ML, and AI. What we’re looking for • A background in data science or advanced analytics (insurance/financial risk exposure is a plus). • Strong Python and SQL skills, with … experience working with large structured and unstructured datasets. • Experience building interactive dashboards and reporting tools. • Familiarity with data engineering, ETL processes, and data pipelines. • Experience with statistical modelling and machine learning techniques, and libraries such as scikit-learn, PyTorch, or TensorFlow. • Excellent communication skills—able to explain complex analysis to non-technical stakeholders. • Proactive, inquisitive mindset with strong More ❯

Senior Data Engineer (Kafka Python AWS) London/WFH to £80k Are you a data technologist with fluent Python coding skills who enjoys working with and continually learning new technologies? You could be progressing your career in a senior, hands-on role at a 'Tech for Good' company that is enabling life changing education to be accessed by millions … across the globe (currently 22 countries and growing). As a Data Engineer you'll help to design, build and operate the data pipelines and data services that power learning experiences. Collaborating with software engineers, data scientists and product managers, you will grow your expertise while contributing to systems that need to process 25-35,000 messages per second … to support the learning experiences as well as reporting and analytics requirements across the business as it scales to 10's of millions of students. Typically you'll be developing and maintaining reliable data pipelines for both real-time streaming and batch workloads, assisting with the evolution of the Lakehouse, collaborating with analytics, product and machine learning More ❯

on experience. Proven experience developing web applications, with proficiency in JavaScript. Practical experience integrating third-party APIs, ideally including AI/LLM services. Desirable Experience: Exposure to AI/ML frameworks such as Python, Hugging Face, or Azure AI. Experience in modernizing or migrating legacy technology stacks. Familiarity with assessment platforms, ed-tech, or regulated software environments. Experience with test More ❯

on experience. Proven experience developing web applications, with proficiency in JavaScript. Practical experience integrating third-party APIs, ideally including AI/LLM services. Desirable Experience: Exposure to AI/ML frameworks such as Python, Hugging Face, or Azure AI. Experience in modernizing or migrating legacy technology stacks. Familiarity with assessment platforms, ed-tech, or regulated software environments. Experience with test More ❯

Where you'll be stretched (and thrive) Own engineering at Squarcle: lead the team, shape the culture, and define how we build software Innovate with impact: explore AI and machine learning in Defence, and Supply Chain projects that set us apart Shape the future: experiment with new ideas, influence major technical decisions, and see your work make a … ve completed your probation. Recognition and rewards £1,000 referral bonus for successful hires Performance related awards Milestone and life event hampers to celebrate life's big moments Development & learning Annual training week abroad Funding for qualifications that benefit both you and the business Travel & wellbeing Cycle to work scheme Discounted travel through funded railcards Pension Our pension provider More ❯

on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job More ❯

on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job More ❯

happening. What Makes Us Different: Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire change. Collaboration: having flexibility to More ❯

environments Benchmark, optimise, and continuously improve reliability Mentor junior engineers and contribute to research direction What were looking for PhD (or equivalent industry experience) in Computer Vision, Robotics, or Machine Learning 5+ years experience delivering real-time perception systems for robotics Strong coding skills in C++ (17/20) and Python Expertise with PyTorch, CUDA/TensorRT, and More ❯

intelligent document processing. Lead technical workstreams in building production-ready AI systems for financial automation with hands-on development approach. Required Qualifications 10+ years of experience in AI/ML engineering with 4+ years in agentic AI and LLM systems Strong proficiency in LangGraph, LangMem, and agentic workflow development Hands-on experience with Azure OpenAI GPT-5, text-embedding More ❯

architectural decisions for LLM-based systems, agentic workflows, and intelligent document processing platforms serving private equity and fund management operations. Required Qualifications 15+ years of experience in AI/ML architecture with 8+ years in enterprise AI solutions Deep expertise in LLM architectures, prompt engineering, and agentic frameworks (LangGraph, LangMem) Hands-on experience with Azure OpenAI GPT-4/ More ❯