26 to 50 of 105 Machine Learning Jobs in the South West

solutions and shaping the future of its industry. Your new role As a Machine Learning Engineer, you will play a key role in designing, building, and deploying ML-powered f click apply for full job details More ❯

to align to business needs - Leading a team across engineering and integration - Work to ensure the data infrastructure of the business effectively supports analytics, AL, machine learning ML and reporting - Designing of data pipelines, ETL, ELT processes and architecture - Work with internal stakeholders and multiple 3rd parties to seamlessly integrate systems, platforms and applications To be considered suitable More ❯

to align to business needs - Leading a team across engineering and integration - Work to ensure the data infrastructure of the business effectively supports analytics, AL, machine learning ML and reporting - Designing of data pipelines, ETL, ELT processes and architecture - Work with internal stakeholders and multiple 3rd parties to seamlessly integrate systems, platforms and applications To be considered suitable More ❯

problem-solving skills to deliver innovative outcomes for clients. Desirable Skills (but we can help you learn them) Experience with Machine Learning frameworks (e.g. Amazon or Azure ML, TensorFlow). Cloud deployment and management (AWS, Microsoft Azure). Containerisation using Docker or Kubernetes. Familiarity with relational, document, or graph databases . Software configuration and deployment using Ansible or More ❯

prepare datasets from various sources, ensuring data quality and consistency prior to analysis. Explore and analyse datasets using a range of analytical tools – including statistical methods, regression analysis, and machine learning techniques – to identify key trends and generate actionable insights for research projects. Create clear, engaging data visualisations and dashboards to communicate key research insights to internal and … team player who can work collaboratively and communicate clearly within a team. Self-starter with a positive attitude, curious mindset, and willingness to embrace new challenges. Commitment to continuous learning and professional development. Training Ongoing employment and career progression. Apprenticeship Standard Data analyst (level 4) Training Provider DIGITAL NATIVE (UK) LIMITED Working Week Monday - Friday, shifts to be confirmed. More ❯

solving methods and approaches Effective communication skills in both writing reports and giving presentations Knowledge and application of the key digital technologies such as data science or AI/ML Signal processing (such as audio, image, video processing) and information processing (raw data or structured data) Effective algorithm design and implementations, and importance of verification and validation An understanding of More ❯

scale with end-users, driving the development of robust, wearable neurotechnologies. This role offers an excellent opportunity for a researcher with expertise in neural signal processing and AI/machine learning for the analysis, classification, and decoding of high-resolution electroencephalography (EEG). Working with Prof Coyle and the Turing AI Fellowship team at the Bath Institute for … timeframe. This role is ideal for a researcher keen to make an immediate contribution and strengthen their profile in AI for neurotechnology through impactful short-term work. - AI/ML research, particularly deep learning using platforms such as Keras, PyTorch, or TensorFlow - Developing and testing novel or customised AI models for complex, noisy, real-world datasets - Software optimisation for … allowance with an additional five discretionary days so that you can enjoy a positive work-life balance - A wide range of personal and professional development opportunities, including Apprenticeships, LinkedIn Learning, and more - Free entry to the Holburne Museum in Bath - Local discounts and more - A family-friendly workplace - An excellent rewards package that recognises the talents of our diverse More ❯

working with Linux or Windows-based systems. Awareness of secure coding practices and modern cybersecurity threats. Knowledge of principles used in Agile environments. Desirable exposure Any exposure of AI, ML, Cloud or Virtualisation would be considered a plus. Clearance required You will already hold an active eDV security clearance This is an incredible opportunity to be at the forefront of More ❯

and communication skills, with the ability to engage with technical and non-technical stakeholders. Nice to have: Experience with application and data modernisation strategies. Knowledge of analytics, AI/ML services, and real-time data processing in Azure & Fabric Familiarity with Microsoft 365 and Power Platform. Certifications such as: DP-300: Administering Relational Databases on Azure, AI-102: Designing and 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 ❯

early in the lifecycle. Continuous Improvement Identify opportunities to simplify and modernise the data landscape by rationalising legacy platforms and redundant data stores. Stay current with emerging technologies (AI, ML, data mesh, data fabric) and translate them into tangible business capabilities. Contribute to the refinement of the North Star architecture and enterprise data capability roadmap. Key Interfaces Enterprise Architecture Domains 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 ❯

understand and resolve technical disputes across varying levels of complexity and risk. Design or operation of a range of Azure or AWS hosted Analytics applications, databases or services, including Machine Learning Worked as part of multi-disciplinary project team. For example, collaboration with UR/UX Security Clearance: UKSV (United Kingdom Security Vetting) clearance is required for this … is making a difference in society Strong, inspiring, and thought-provoking leadership A supportive and collaborative environment As well as this, we offer: Development access to Pluralsight and LinkedIn Learning Wellness 24/7 Confidential employee assistance programme Social -office parties, pizza Friday and commitment to charitable causes Time off - 25 days of annual leave a year, plus bank More ❯

underpinning security and defence operations Developing complex data pipelines, APIs, and AI tooling in modern Python environments Working in agile, multi-disciplinary teams alongside experts in software, data, and machine learning Delivering production-grade solutions across cloud and on-prem secure environments Experience required Strong hands-on Python development (FastAPI, Flask, Django or similar) Solid understanding of CI More ❯

as a technical lead and mentor to junior engineers, fostering an environment of curiosity, innovation, and excellence. You Will Have Proven experience working with generative AI, LLMs, or advanced machine learning A strong understanding of state-of-the-art AI research and its practical translation into applied systems. Excellent customer-facing communication skills , with the ability to explain More ❯

it) is non-negotiable . What you’ll do Lead the end-to-end delivery of Data Science and AI projects for enterprise clients. Architect and validate data models, ML pipelines, and LLM-powered solutions. Oversee Proof of Concept, MVP, Alpha and Beta phases, ensuring measurable outcomes. Operate as the senior on-site consultant , engaging directly with stakeholders several times … Advise on data governance, model performance, and responsible AI principles. What we’re looking for Significant hands-on Data Science experience, ideally within consulting or digital transformation. Depth in Machine Learning, Predictive Modelling, and LLM frameworks (Python, TensorFlow, PyTorch, Hugging Face, etc.). Ability to translate complex data science outcomes into clear business narratives. Comfortable leading engagements in 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 ❯

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 ❯

Key Responsibilities & Experience: Proven expertise in data architecture , including data modelling , analysis , transformation , migration , metadata , and master data management . Track record of delivering data analytics and AI/ML-enabling solutions across complex environments. Hands-on experience with cloud data platforms , ideally AWS (S3, Kinesis, Glue, Redshift, Lambda, EMR). Experience with Azure technologies (ADF, Synapse, Fabric, Azure Functions More ❯

simulating, and verifying a wide range of circuits for high-speed optical transceiver products used in cutting edge, optical switching networks for power efficient and performance optimised AI/ML applications. You will work in a multidisciplinary team to develop optimal solutions across the product architecture and physical design. Responsibilities: Hardware design of mixed signal circuits to control Photonic Integrated More ❯

Our team is growing, and we’d love for you to be part of the journey. Role Summary You’ll play a key part in supporting our product team — learning the product inside out, assisting with configuration and administration, and helping to deliver high-quality outcomes for our customers in the rail industry. The role would suit someone technically … internal needs. Carry out proactive tasks to assist customers and monitor the performance of our product. Assist the product team in completing validation and ground truth exercises of our machine learning models and positioning data. Personal Qualities and Experience Essential A collaborative, positive & flexible approach. The ability to learn quickly and accurately communicate detailed technical information. Strong interpersonal More ❯

Strong understanding of data warehousing and ETL processes. Desirable: Experience with Azure Data Factory or other cloud-based data integration tools. Familiarity with advanced analytics tools (Python, R) and machine learning concepts. More ❯

Our client has over 30 years of experience in solving complex data challenges for defence, national security, and central government clients. They specialise in areas such as AI and machine learning, geospatial data analytics, cloud services, and data strategy, delivering tailored solutions that enhance decision-making, operational performance, and mission readiness Key Responsibilities: In the role, you’ll More ❯