26 to 50 of 52 Machine Learning Jobs in Lancashire

cross-functional technology team. Design, develop, and deliver high-quality, scalable software solutions. Work within an agile team on applications, APIs, and services used globally. Graph databases (GraphDB, Neo4j) ML/AI frameworks (SageMaker, Bedrock) Cloud-based data engineering (AWS) Build and maintain cloud-native data pipelines, ensuring data quality, accuracy, and reliability. 5+ years experience in software or backend More ❯

and upskill internal teams on effective AI adoption and usage. Contribute to the development of scalable prototypes and production-ready solutions. Ideal Candidate Hands-on experience with AI/ML tools (e.g. NLP, predictive modelling, process automation). Familiarity with cloud platforms (AWS, Azure, or GCP). Strong problem-solving and collaboration skills. Ability to communicate technical concepts clearly to More ❯

with distributed systems and cloud platforms Proficiency in database design (e.g. PostgreSQL) Familiarity with Docker, IaC tools (Terraform), and monitoring stacks Start-up mindset Bonus: Experience with AI/ML deployment, vector databases, or video pipelines. Why Join Work on meaningful AI applications with real-world impact Enjoy flexibility, autonomy, and early equity Collaborate with a world-class, mission-driven More ❯

an experienced Data Scientist to join their advanced analytics team. This is a fully remote, hands-on role focused on solving complex operational challenges through data-driven insights and machine learning. Youll be working in a fast-paced environment, collaborating with cross-functional teams to develop models, guide technical decisions, and help shape the future of data science within … Scientist, you'll work closely with both technical and non-technical teams to identify business problems and translate them into data science solutions. You'll lead the development of machine learning models - be hands on with Python and its data science ecosystem, ensuring data quality, building analytical pipelines, and visualising insights for stakeholders. Up to 600/Day … Scientist - Python, Pandas, NumPy, Git, and Azure/AWS Key Responsibilities: Partner with cross-functional teams to translate business pain points into scalable data science solutions. Architect and deploy ML models (with a focus on time-series forecasting) to optimise field operations. Own the full analytics lifecyclefrom data wrangling and pipeline design to model deployment and stakeholder storytelling. Mentor junior More ❯

an experienced Data Scientist to join their advanced analytics team. This is a fully remote, hands-on role focused on solving complex operational challenges through data-driven insights and machine learning. You ll be working in a fast-paced environment, collaborating with cross-functional teams to develop models, guide technical decisions, and help shape the future of data science … Scientist, you'll work closely with both technical and non-technical teams to identify business problems and translate them into data science solutions. You'll lead the development of machine learning models - be hands on with Python and its data science ecosystem, ensuring data quality, building analytical pipelines, and visualising insights for stakeholders. Up to £600/… Scientist - Python, Pandas, NumPy, Git, and Azure/AWS Key Responsibilities: Partner with cross-functional teams to translate business pain points into scalable data science solutions. Architect and deploy ML models (with a focus on time-series forecasting) to optimise field operations. Own the full analytics lifecycle from data wrangling and pipeline design to model deployment and stakeholder storytelling. Mentor 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 ❯

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 ❯

from beginner level all the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI , and much more. You will also complete mini projects to gain practical experience and test your skills while you study. Step 2 - CompTIA Data+ CompTIA Data+ More ❯

from beginner level all the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI , and much more. You will also complete mini projects to gain practical experience and test your skills while you study. Step 2 - CompTIA Data+ CompTIA Data+ More ❯

development. As a member of DataAnnotation s coding team, you ll be part of a growing community of over 100,000 professionals including front-end, back-end, full-stack, machine learning, and other engineers who are driving real-world impact in AI development. Our platform offers an engaging blend of flexibility and challenge: you ll work closely with More ❯

development. As a member of DataAnnotation s coding team, you ll be part of a growing community of over 100,000 professionals including front-end, back-end, full-stack, machine learning, and other engineers who are driving real-world impact in AI development. Our platform offers an engaging blend of flexibility and challenge: you ll work closely with More ❯

Knowledge of gaming integrations, payments, and provider APIs Experience with fraud prevention, security controls, or compliance frameworks Familiarity with platform personalisation, data pipelines, or event-driven systems Exposure to machine learning, AI, or player analytics Ready to lead a high-performing engineering function and build modern gaming technology at scale? Please apply and Emma will be in touch More ❯

with Strong React/Next.js, experience with Tailwind and UI best practices would be highly beneficial Experience with cloud infrastructure (AWS/Azure/GCP), DevOps and data/ML workflows JavaScript Full-Stack Engineer - Climate-Tech Start-Up - Fully Remote More ❯

with Strong React/Next.js, experience with Tailwind and UI best practices would be highly beneficial Experience with cloud infrastructure (AWS/Azure/GCP), DevOps and data/ML workflows Happy to liaise with clients If you can see yourself in a mission-led, impact-focused team, apply now! JavaScript Full-Stack Engineer - Climate-Tech Start-Up - Fully Remote More ❯

policies etc Very good working experience in data related projects or applications Good working knowledge in Gitlab Good working knowledge in Python Good working knowledge in Data science and Machine Learning Good working knowledge in data management and data governance Good working experience in managing product owners and stakeholders Very good team player positive attitude and proactive Self More ❯

oversight, coaching, and technical challenge across engagements. Champion excellence and act as a role model for proactive, positive leadership. What You Bring Deep expertise across data platforms, AI/ML, cloud architectures, and analytics . Strategic mindset - able to connect technology to business vision. Strong problem-solving and design thinking skills. Exceptional communication - from boardroom to engineering team. Influential leadership More ❯

appropriate. Lead infrastructure and environment setup for innovation projects, including CI/CD pipelines and cloud environments. Support the development of data pipelines, processing, and storage for AI/ML workloads. Monitor and evaluate model performance, accuracy, and resource utilisation. Champion delivery best practices across the team including AI Governance, EDA alignment and SDLC compliance Contribute to the rollout of … CD pipelines, containerisation (Docker/Kubernetes) Familiarity with cloud platforms (Azure, AWS, or GCP) Understanding of data engineering principles, including ETL, data pipelines, and database management. Working knowledge of ML/AI concepts and technologies, including model deployment and monitoring. Strong problem-solving skills and the ability to work across disciplines in a fast-paced, exploratory environment. Excellent communication and More ❯

property law, helping thousands of people to buy, sell and remortgage their home. They provide our clients with a stress-free online experience, underpinned by our process automation and machine learning platform, and delivered through our wholly owned English law firm. Their revenue has tripled year-on-year, and they’ve carved out a reputation as client-focused More ❯

with stakeholders to understand business challenges and translate them into actionable AI strategies. Key responsibilities: Collaborating with clients to identify opportunities for AI implementation Designing and developing AI models (ML, NLP, Computer Vision) Conducting data analysis and preprocessing Deploying models into production environments Providing training and support on AI tools and best practices Staying up to date with the latest … AI advancements Requirements: Proven experience in AI/ML projects Proficiency in Python, R, or Java Familiarity with AI frameworks and cloud platforms (Azure, AWS, GCP) Strong problem-solving and communication skills A degree in Data Science, Computer Science, or a related field (preferred) Benefits: Flexible remote working Competitive salary 25 days holiday + home working allowance Private health insurance More ❯

JOB VACANCY GLOBAL LOGIC Company: Global Logic Job Title: GTM Solutions Architect, AI/ML - Intelligent Enterprise Location: United Kingdom - Edinburgh, London, Manchester Working style: Hybrid You'll be part of a collaborative, entrepreneurial environment that values innovation, excellence, and thought leadership. This is more than a sales-adjacent role - it's your opportunity to shape the future of data … life and influence how data & AI transforms industries - we'd love to hear from you. Requirements GlobalLogic is seeking a Go-to-Market (GTM) Solutions Architect for AI/ML solutions to drive the growth of our pipeline in our Intelligent Enterprise practice in the UK & Ireland. This is a high-impact role at the intersection of technology, consulting, and … innovation - shaping and scaling our Data & AI offerings across four transformative domains: Data Platforms Data & ML Operations Generative & Agentic AI You'll partner with Sales, Marketing, and Delivery teams to co-create solutions, design winning proposals, and accelerate business growth. Ideal for senior data consultants, data architects, or pre-sales experts, this is a chance to lead at the forefront More ❯

SQL and SAS skills (or equivalent), with advanced Excel and solid PowerPoint/Office capability. Experience in customer segmentation, test and control methodologies, and ideally exposure to AI/machine learning. A sharp analytical mind with the ability to turn complex data into clear, actionable insights. Confidence in presenting to senior stakeholders and influencing decisions. A solid understanding of … Flexible, hybrid working model Inclusive culture and environment, check out our Glassdoor reviews £1,000 flexible benefits allowance to suit your needs 30 days holiday + bank holidays Udemy learning access Bonus potential (performance and business related) Up to 25% discount on Very.co.uk Matched pension up to 6% More benefits can be found on our career site How to More ❯

stakeholders. Contributing to agile delivery processes and sharing knowledge through workshops and demos. To be successful in this role, you will have: Proven experience developing and deploying AI/ML solutions on Azure. Hands-on expertise with Generative AI including LLMs and GPT Strong programming skills with Python and familiarity with AI/ML libraries Excellent communication and stakeholder engagement More ❯

Product Owner (AI) - Manchester Hybrid Salary : £55,000About the Role We are seeking a Product Owner with a strong focus on AI/ML products who thrives in dynamic, fast-paced environments and enjoys working closely with small, high-impact teams. You will lead initiatives involving AI-driven system upgrades, data platform modernization, and greenfield builds, collaborating directly with director … will help shape intelligent solutions that drive measurable value through automation, personalization, and data insights. Key Responsibilities Own and manage the product backlog with a focus on AI/ML feature development, turning business needs into actionable user stories and clear acceptance criteria. Lead end-to-end initiatives involving AI-powered applications, from data ingestion and model deployment to user … facing functionality. Collaborate with data scientists, ML engineers, and software developers to align technical execution with business goals. Partner with director-level stakeholders to understand strategic AI objectives, prioritize use cases, and gain buy-in for roadmap decisions. Work closely with UX and QA teams to ensure AI features are intuitive, ethical, and deliver high-quality user experiences. Ensure timely More ❯