1 to 25 of 178 Machine Learning Jobs in Manchester

processes giving Markerstudy a critical advantage in the increasingly competitive insurance market by minimizing the development to deployment and monitoring stages of the ML lifecycle through automation. You will also be responsible for refining, tuning, deploying and maintaining machine learning methods in our machine learning pipeline … customer-centric offerings across Motor, Home and Commercial Lines businesses. The successful candidate will also enjoy opportunities for leading, coaching, and mentoring more junior ML Engineers. Key Responsibilities: Report and communicate with Senior Stakeholders, such as the Head of Data Science and Machine Learning and Director of Technical ...

systems. You'll have the opportunity to: Work on cutting-edge GenAI and machine learning solutions Build and deploy LLMs and ML models across cloud and HPC environments Take ownership of technical delivery within projects Act as a go-to specialist for machine learning … mentor engineers within a collaborative team Your Responsibilities Lead technical delivery across machine learning and MLOps engagements Design, build, and deploy ML models and LLM-based solutions Develop and optimise pipelines for model training and deployment Work across cloud and high-performance computing environments Act as a subject ...

autonomous vehicles. As Principal Machine Learning Engineer, you will lead the strategic direction, risk management, and continuous improvement of production AI/ML products and services that support critical business decision-making. Working closely with Digital Services teams and senior stakeholders, you will define and deliver machine … weekly travel to collaborate with the team Lead the Machine Learning Engineering team in the safe and effective operation of AI/ML products and services in production, maximising the value and adoption of data-driven decision making across the business. Own service performance and continuous improvement, ensuring ...

mission-driven technology company operating in the life sciences domain is seeking a Principal Scientist - hands-on with either ADMET or Structural Biology modelling, ML engineer to lead the technical direction for ADMET modeling efforts within its drug discovery platform. The organisation enables collaborative model development across partner organisations while … machine learning, computational chemistry, and applied research to advance foundational model applications in drug discovery. You'll be the technical authority on ML architecture, experimentation, and strategy, while focusing specifically on data security and privacy. You will also collaborateclosely with leadership and mentoring other engineers and researchers. While ...

mission-driven technology company operating in the life sciences domain is seeking a Principal Scientist - hands-on with either ADMET or Structural Biology modelling, ML engineer to lead the technical direction for ADMET (Absorption, Distribution, Metabolism, Excretion, and Toxicity) modeling efforts within its drug discovery platform. The organisation enables collaborative … machine learning, computational chemistry, and applied research to advance foundational model applications in drug discovery. You'll be the technical authority on ML architecture, experimentation, and strategy, while focusing specifically on data security and privacy. You will also collaborateclosely with leadership and mentoring other engineers and researchers. While ...

levels available £45k to £95k DoE plus 15% clearance bonus Must be willing to be full-time on-site in Manchester Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism … look forward to hearing from you. KEY SKILLS: Data Science/Data Scientist/AI Engineer/AI/Machine Learning/ML/NLP/GenAI/Stakeholder Engagement/Customer Engagement/AWS/Azure/Cloud/Docker/Kubernetes/CI/CD/ ...

Description Job title: Senior Machine Learning Engineer Locations: Manchester or Haywards Heath (hybrid working) Role overview Markerstudy Group are looking for a Senior Machine Learning Engineer to help take leading-edge and novel insurance risk modelling and pricing techniques and participate in creating fully automated machine learning pipelines. Markerstudy is a leading provider of private insurance in th... ZIPC1_UKTJ ...

Intern, you'll work closely with our experienced team of Data Scientists to support the research and development of both traditional and cutting-edge machine learning algorithms for use with current and future product ranges. Here at ITL, we offer: Hands-on experience with real-world projects Mentorship … opportunity to experience working with professionals in their chosen field Your Responsibilities Collaborate with the data science team to design, implement, and optimize Machine Learning models Analyze large datasets to uncover trends, patterns, and insights that drive business decisions Develop and test algorithms for machine learning ...

few. Role overview As a Senior Data Scientist, you will use your advanced analytical skills to: Lead the development of cutting-edge, bespoke machine learning predictive models, including risk pricing and classification and regression models Identify and create data solutions that create value Work collaboratively with the pricing … such as area or vehicle classification, as well as predictive models for other business use cases such as conversion, retention or price optimisation Prototype ML solutions before handing to the ML team for implementation Conduct more advanced yet focused research and development to solve business challenges Work collaboratively with other ...

will be shaped by autonomous closed loop experimentation, where AI, software, and lab workflows work together to accelerate discovery, improve decision quality, and compound learning across programs. Reporting: Reports to CEO | Member of the management team | Occasional Board reporting Location: Manchester, UK. This is an on-site leadership role. … Artificial Intelligence, Machine Learning, Mathematics, Physics, Bioinformatics, Computational Biology, Engineering, or a related technical field required. • Research experience relevant to AI/ML, computational biology, protein science, biocatalysis, or adjacent quantitative scientific fields is desirable. What Success Looks Like In the first 12 months, success in this role ...

across product and functional teams, while also setting the technical direction and ensuring alignment with company-wide OKRs. You’ll drive the transition towards machine learning engineering, championing end-to-end model ownership from research through to deployment in production. This is a fantastic opportunity to shape … leadership experience in data science or machine learning, ideally within product-led or consumer-facing organisations Strong background in building and deploying ML models at scale in production environments Ability to structure and lead embedded data science teams, partnering effectively with senior stakeholders across multiple domains Hands ...

major public sector programme. You'll be working on the design and development of robust data processing systems that underpin analytics, data science and machine learning use cases. This role offers the chance to work on complex data platforms while collaborating with data scientists, engineers and stakeholders … highly skilled multidisciplinary environment. What You'll Be Doing: Designing, building and maintaining scalable data processing and integration services Supporting Data Science and Machine Learning workloads through well-engineered software solutions Developing high-quality, testable code using modern engineering practices Working within secure cloud-hosted environments Collaborating closely ...

Role Build and fine tune LLMs and NLP models for analytics and conversational products. Apply mathematical and quantitative thinking to financial use cases. Develop ML pipelines, model evaluation processes, and production ready code. Work with engineers to deploy models in AWS. Support and guide mid level Data Scientists. Your Skills … Experience Strong commercial experience in Python, machine learning, and NLP. Hands on work with LLMs, fine tuning, and modern ML tooling. Ability to understand quantitative concepts for trading and financial analytics. Experience working in cloud based engineering environments, ideally AWS. Comfortable collaborating with cross functional teams. ...

great opportunity to join a high-growth adtech scale-up where you can take ownership of large-scale data infrastructure that directly powers machine learning, product intelligence, and customer ROI. THE COMPANY This is a UK-based adtech SaaS platform that using machine learning and real … event data Improving and optimising the AWS Redshift data warehouse, including modelling, performance, and cost efficiency Refactoring poorly structured data into clean, well-governed, ML-friendly datasets Building pipelines to support ML workflows, feature stores, A/B testing, and experimentation Ingesting and integrating new and under-utilised data sources ...

site and remotely. The Head of Artificial Intelligence will lead the development and implementation of AI-driven initiatives, manage a team of AI/ML experts, and oversee the application of machine learning, natural language processing, and computer vision technologies. Responsibilities include driving strategic AI projects, collaborating across … Master's degree in Computer Science, Data Science, or a related field (or equivalent experience) Experience in a leadership role within artificial intelligence or machine learning spaces is highly desirable ...

design. All underpinned by technology created with purpose. We’re looking for GenAI/Agentic Engineers who want to shape the future of Machine Learning, Generative AI and Agentic AI. You will be tasked with building and deploying intelligent systems that combine cutting-edge models, agentic frameworks … pitch contribution, and client hosting at events. Internal contribution – Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development. Learning & development – Training to support your career development and the skills demand within the company, certifications etc. YOUR PROFILE We’d love to meet someone ...

ROLE As a Data Engineer you will take ownership of the company's core data pipelines, transforming large-scale event data into reliable, ML-ready datasets that power real-time decisioning and analytics across the business. Specifically, you can expect to be involved in the following: Design and manage data … that prepare data for machine learning and analytics use cases. Restructure/improve existing datasets to ensure they are reliable, performant and ML-ready. Work closely with Data Science and Platform Engineering to productionise models and improve data foundations. Proven ability to work with high-volume event data ...

design and run reliable, scalable data systems. Key responsibilities include: Designing and owning batch and streaming data ingestion pipelines on AWS Building and maintaining ML ready datasets to support model training, inference, and experimentation Improving data warehouse design and performance within AWS Redshift, including refactoring poorly structured data Integrating … implementation and understand how data supports business and product outcomes Comfortable collaborating across Data, Engineering, and Product in a fast moving environment Exposure to ML or analytics use cases, including preparing data for modelling or experimentation, is highly beneficial What They Offer Clear scope for progression as the data platform ...

kind of environment where your work will genuinely matter. The Role As a Senior Data Scientist, you will: Design, build, and deploy machine learning models that underpin core decision-making systems Develop pricing, segmentation, and behavioural models to drive commercial optimisation Work closely with product, engineering, and business … Experimentation and measurement frameworks to validate impact Model explainability and interpretability for business users What We’re Looking For Strong background in data science, machine learning, or statistical modelling Proven experience delivering models into production environments Commercial awareness — you understand how data drives business decisions, not just technical ...

next step in your career? Perch Group are looking for a decision scientist to design and optimize data-driven solutions that support machine learning, statistical analysis, and predictive modelling. You’ll work closely with a team of analysts and the investment team to create high-quality, scalable data … data science, analytics, or applied statistical modelling , with a proven track record of delivering impactful solutions in complex environments. Strong hands-on experience applying machine learning techniques to real-world datasets, with demonstrable outcomes in business decisioning or operational optimisation. Expertise in advanced modelling approaches such as Random ...

assets for analytics and insight generation Drive the development of data infrastructure, governance and quality to support trusted insight Champion innovation in advanced analytics, machine learning and AI, evaluating and adopting new approaches Translate complex analysis into clear, actionable recommendations for senior stakeholders Coach and mentor analytics professionals … commercial experience in customer insight, analytics strategy and transformation Deep capability in data architecture, integration and connectivity across multiple data sources Advanced knowledge of machine learning, predictive modelling and modern analytics frameworks Proven ability to design integrated customer data assets that support decision making Excellent stakeholder management skills ...

assets for analytics and insight generation Drive the development of data infrastructure, governance and quality to support trusted insight Champion innovation in advanced analytics, machine learning and AI, evaluating and adopting new approaches Translate complex analysis into clear, actionable recommendations for senior stakeholders Coach and mentor analytics professionals … commercial experience in customer insight, analytics strategy and transformation Deep capability in data architecture, integration and connectivity across multiple data sources Advanced knowledge of machine learning, predictive modelling and modern analytics frameworks Proven ability to design integrated customer data assets that support decision making Excellent stakeholder management skills ...

domain experts to ensure your work doesnt just function it lands, scales, and delivers measurable impact . What Youll Be Doing Building and deploying machine learning models into production environments Designing decisioning systems that optimise pricing, channel selection, and asset performance Developing explainable models (SHAP, LIME, feature importance … complex datasets across multiple markets Collaborating with product and engineering teams to embed models into live systems What Were Looking For Strong experience in machine learning, statistical modelling, or pricing/propensity modelling Proven track record of delivering models that go into production and stay there Experience working ...

equip students with an understanding of database systems, internet technologies, data, cyber security, networking, and business information systems. You will undertake all aspects of learning, teaching and assessment of students and keep up to date with latest developments in your field and student support practices. Responsibilities include: All aspects … planning, delivering, and assessing student work, ensuring that all learning outcomes are met Developing, updating, and improving course materials as appropriate Using a variety of learning and teaching methods/materials Actively engaging in staff development activities, peer observations, meetings and other administrative duties Understanding and keeping ...

equip students with an understanding of database systems, internet technologies, data, cyber security, networking, and business information systems. You will undertake all aspects of learning, teaching and assessment of students and keep up to date with latest developments in your field and student support practices. Responsibilities include: All aspects … planning, delivering, and assessing student work, ensuring that all learning outcomes are met Developing, updating, and improving course materials as appropriate Using a variety of learning and teaching methods/materials Actively engaging in staff development activities, peer observations, meetings and other administrative duties Understanding and keeping ...