10 of 10 Machine Learning Jobs in Cheshire

Overview The Senior Data Scientist is responsible for developing and implementing advanced data science models, machine learning algorithms, and predictive analytics solutions to drive business insights, product innovation, and operational efficiencies at IMS. This role plays a critical part in enhancing telematics, mobility, and insurance technology solutions through data-driven decision-making, statistical analysis, and AI-driven automation. … insights to Executive Leadership, helping shape strategic decisions. Engage with customers and partners, translating data science capabilities into real-world applications. Research and Innovation Stay ahead of emerging AI, ML, and data science trends, integrating innovative techniques into IMS solutions. Contribute to research papers, patents, and industry collaborations, positioning IMS as a thought leader in data science. Requirements 5+ years … statistical modelling, probability theory, and mathematical optimization. Experience deploying machine learning models to production (MLOps, Docker, Kubernetes, etc.). Familiarity with AWS/GCP/Azure cloud ML platforms for scalable model training and inference. Strong problem-solving, communication, and business acumen skills. Experience in telematics, mobility, insurance, or IoT industries. Knowledge of deep learning applications. Why More ❯

Junior Software Developer - .NET/C#/React.js/Vue.js/AI & Machine Learning C#, .NET, React.js, Vue.js, AI/ML Salary up to £35k Hybrid - 2 days a week on-site in the North-West For more information, please email directly at or call Who We Are: We're a well-established engineering team with a strong … You'll Be Doing: Develop and enhance internal applications using .NET, C#, Vue.js, and modern Azure-based tooling. Build intelligent, AI-driven features using Azure AI Services and Azure Machine Learning, including chatbots, automation tools, and predictive models. Contribute to greenfield development, ongoing improvements, and the evolution of existing platforms within an Agile squad. Deploy and maintain solutions … as-code, and cloud-first best practices. Research emerging technologies and bring forward innovative ideas to improve how we work. What You'll Bring: A strong interest in AI, machine learning, and emerging technologies, paired with enthusiasm for full-stack, cloud-first development. Experience with or a desire to work with modern JavaScript frameworks alongside a passion for More ❯

on what data they need and how best to use it. Balance short-term business demands with long-term analytical strategy and sustainability. Apply and explore Data Science and Machine Learning techniques, including segmentation, to enhance insight and discovery. What We're Looking For Strong experience in data visualisation (Power BI ideal). Solid SQL skills and comfort … ability. Ability to collaborate with stakeholders and translate requirements into analytical solutions. Curiosity, proactivity, and the ability to guide others toward the right insight. Exposure to Data Science/Machine Learning techniques is a plus. What's On Offer Salary up to £65,000 , depending on experience Hybrid working - 2/3 days in the Heald Green office 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 ❯

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 ❯

or GCP Infrastructure-as-code, CI/CD, and observability tooling Experience scaling systems under sustained load Contributions to internal tooling or open source Experience with large datasets and machine learning models Impact You'll Make: What's In It For you? At TransUnion you will be joining a friendly, forward thinking global business. As well as an More ❯

Have Experience in fields like literature, creative writing, history, philosophy, theology, etc. Prior writing or editorial experience (content strategist, technical writer, editor, etc.). Interest or background in AI, machine learning, or creative tech tools. Pay & Logistics Base Rate : Up to $15/hour USD, depending on experience. Bonuses : Additional pay available based on project performance. Type : Freelance More ❯

such as Argo CD. Experience with SQL and data warehousing/pipelining tools. Hands-on experience with AI tooling to enhance engineering workflows and deliver innovative solution Understanding of machine learning principles for developing advanced ranking algorithms. Proven experience in navigating and transforming legacy codebases, as well as leading greenfield projects. A polyglot who can identify and use More ❯

with Data Engineers to utilize and optimize the full potential of the [Cloud Environment] ecosystem. - INNOVATION: Acting as a subject matter expert, constantly evaluating and integrating new AI/ML techniques. CANDIDATE PROFILE: The ideal candidate will possess 4–5 years of dedicated professional experience and demonstrable proficiency across: - CORE EXPERIENCE : Strong command of Generative AI, LLMs, and RAG principles. … Proven experience managing the end-to-end ML lifecycle. - TECH STACK: Proficiency in Python (Pandas, NumPy, LangChain). Deep familiarity with the [Specific Vendor]’s [Cloud Environment] AI and Data Stack (Azure ML, Azure OpenAI, Databricks). - SPECIALIZATION: Expertise in Vector databases (FAISS, Pinecone, Azure AI Search), Prompt Engineering, and familiarity with products like [Specific Vendor Product 1]. THE More ❯

with Data Engineers to utilize and optimize the full potential of the [Cloud Environment] ecosystem. - INNOVATION: Acting as a subject matter expert, constantly evaluating and integrating new AI/ML techniques. CANDIDATE PROFILE: The ideal candidate will possess 4–5 years of dedicated professional experience and demonstrable proficiency across: - CORE EXPERIENCE : Strong command of Generative AI, LLMs, and RAG principles. … Proven experience managing the end-to-end ML lifecycle. - TECH STACK: Proficiency in Python (Pandas, NumPy, LangChain). Deep familiarity with the [Specific Vendor]’s [Cloud Environment] AI and Data Stack (Azure ML, Azure OpenAI, Databricks). - SPECIALIZATION: Expertise in Vector databases (FAISS, Pinecone, Azure AI Search), Prompt Engineering, and familiarity with products like [Specific Vendor Product 1]. THE More ❯

data solutions. Work with Snowflake (ideal), or similar cloud data platforms. Implement or contribute to real-time data processing frameworks (a strong bonus). Integrate data solutions with AI & ML workflows where beneficial. Apply broad engineering knowledge to support system scaling, optimisation, and performance tuning. Collaborate with cross-functional teams to understand data needs and propose effective solutions. Communicate technical … communication skills with the ability to challenge, propose, and influence. A proactive mindset, excellent critical thinking, and a collaborative approach to solving complex problems. Bonus: experience working with AI & ML integration in data pipelines. What's On Offer Salary up to £75,000 , depending on experience Hybrid working - 1/2 days in the Heald Green office Autonomy/Flexible More ❯