1 to 25 of 129 Remote Machine Learning Jobs in the North of England

benefit options including discounts at hundreds of retailers, cycle to work scheme, discounted gym memberships and healthcare schemes Employee assistance and well-being programmes Learning and development tailored to your role - this could include industry recognised qualifications, coaching and mentoring An inclusive and diverse environment with opportunities to join … contacting us with the job reference in the subject. Introduction BBC R&D's AI Research Applied Area is focused on the use of Machine Learning and Artificial Intelligence across the BBC. AI Research works closely with other BBC R&D Applied Research Areas, BBC Product and Technology … Groups and senior business stakeholders across the BBC to accelerate Machine Learning based innovation. Reporting to the Head of AI Research, the Senior Principal Data Scientist will lead a team of machine learning researchers focusing on natural language processing. As a Senior Principal Data Scientist, you More ❯

projects from initial development through to deployment. Responsibilities: Develop and deploy scalable machine learning models into production environments Build and maintain robust ML pipelines using modern cloud and MLOps tooling Collaborate with data scientists, engineers, and stakeholders to deliver end-to-end solutions Implement testing, monitoring, and performance … optimisation of ML systems Contribute to architectural discussions and promote engineering best practices Technical Environment: Python, PyTorch or TensorFlow AWS (including SageMaker, S3, Lambda) or Azure ML Docker, Kubernetes, Airflow CI/CD tools (e.g. GitHub Actions, Jenkins) MLflow or similar frameworks Required Experience: Proven track record of deploying machine learning models to production Strong programming skills in Python and familiarity with modern ML frameworks Experience working in cloud environments (preferably AWS) Understanding of MLOps practices and tooling Effective communication and ability to work independently in a remote team Desirable: Experience with LLMs or generative AI technologies Previous More ❯

projects from initial development through to deployment. Responsibilities: Develop and deploy scalable machine learning models into production environments Build and maintain robust ML pipelines using modern cloud and MLOps tooling Collaborate with data scientists, engineers, and stakeholders to deliver end-to-end solutions Implement testing, monitoring, and performance … optimisation of ML systems Contribute to architectural discussions and promote engineering best practices Technical Environment: Python, PyTorch or TensorFlow AWS (including SageMaker, S3, Lambda) or Azure ML Docker, Kubernetes, Airflow CI/CD tools (e.g. GitHub Actions, Jenkins) MLflow or similar frameworks Required Experience: Proven track record of deploying machine learning models to production Strong programming skills in Python and familiarity with modern ML frameworks Experience working in cloud environments (preferably AWS) Understanding of MLOps practices and tooling Effective communication and ability to work independently in a remote team Desirable: Experience with LLMs or generative AI technologies Previous More ❯

About the Machine Learning Engineer for CDAO Europe CDAO Europe is looking for a machine learning engineer to build efficient, data-driven AI systems that advance our predictive automation capabilities. The candidate should be highly skilled in statistics and programming, with the ability to confidently assess … analyze, and organize large amounts of data. The candidate should also be able to execute tests and optimize Vanguard's machine learning models and algorithms. This person will play a critical role in designing and developing machine learning algorithms and AI applications and systems for Vanguard … solve complex problems with multilayered data sets, and optimize existing machine learning libraries and frameworks. They will collaborate with data scientists, data analysts, data engineers, and data architects on production systems and applications, and identify differences in data distribution that could potentially affect model performance in real-world More ❯

into our products to benefit customers, and learning from how our users interact with those products to drive continuous innovation. As an ML Ops Engineer, you'll play a critical role in ensuring that our machine learning features aren't just smart-they're scalable, efficient … where employees work 2 days a week in the Manchester office. What you will be doing Bridge Dev and AI : Build and scale reliable ML workflows that power features like our natural language interface and AI-enhanced pipelines. Make AI Production-Ready : Deploy and maintain generative AI systems in real … frameworks (like LangChain), AWS, data governance, and more over your first 12 months. What we are looking for Solid Technical Foundation : Experience with Python, ML workflows, cloud platforms (especially AWS), and data engineering tools. AI-Curious : Some exposure to Generative AI, agentic systems, and a drive to deepen your knowledge More ❯

Machine Learning Engineer - Python - Manchester (hybrid/remote) Overview: #TeamCandour are seeking a passionate and innovative Machine Learning Engineer/Data Scientist to join the team of our global financial services client out of their offices in Manchester on a hybrid basis. If you have an More ❯

Machine Learning Engineer - Python - Manchester (hybrid/remote) Overview: #TeamCandour are seeking a passionate and innovative Machine Learning Engineer/Data Scientist to join the team of our global financial services client out of their offices in Manchester on a hybrid basis. If you have an More ❯

Patent Attorney, AI and Machine Learning - UK based London, Bristol, Manchester or Cambridge Mewburn Ellis is the forward-looking IP firm. Over 150 years old, but very much with a focus on the future, we are at the top of our profession. We are 'Top Tier' in Legal … us on our exciting journey. The role The Mewburn Ellis Engineering and ICT Practice Group is growing and looking for an Artificial Intelligence/Machine Learning specialist to join the team. This new position will allow you to work with a number of clients at the cutting edge … in a variety of backgrounds such as maths, physics, computer science so long as there has been a significant formal component in AI or ML or even an AI/ML certificate attained separately to the STEM degree. Another route could be some solid AI/ML specific industry experience. More ❯

Location: [Manchester - Hybrid/Home working] 💼 Job Type: Full-time 💷 Salary: £50,000 - £80,000 base AI/ML Engineer – Start-Up – Stock Consideration We are looking for a mid-level AI/Machine Learning Engineer to join a vibrant early tech start-up in Manchester. Do you … to recent investments and ambitious growth plans, they are looking for an AI Engineer to join the team The Role: As an AI/ML Engineer, you’ll transform complex behavioural data into responsive, intelligent, and scalable systems that think and adapt in real time. Architect and deploy machine … automation. Collaborate with cross-functional teams to align tech with user-centric product design. What We’re Looking For: 2+ years in AI/ML engineering or backend software roles with ML components. Proficiency in Python and frameworks like PyTorch/TensorFlow, Scikit-learn. Experience deploying models with Docker, Kubernetes More ❯

a high-growth, innovation-led software company delivers full-stack development solutions across a wide range of sectors, with a strong focus on AI, machine learning, and image recognition technologies. Known for outperforming larger competitors, the company is agile, fast-moving, and highly adaptable to client needs. The … including daily stand-ups and sprints Conducting code reviews and mentoring junior developers Staying up to date with emerging tech, especially in AI and machine learning Candidate Requirements: Proven experience with Microsoft .NET Core, Web API, C#, and C++ Hands-on knowledge of Azure DevOps, Kubernetes, and Microsoft … SQL Server Strong full-stack development skills (front-end and back-end) A keen interest in or prior experience with AI, machine learning, and recognition technologies Excellent problem-solving, communication, and collaboration skills Ability to work independently and manage time effectively Confident communicator What the Company Offers: Hybrid More ❯

ll play a vital role in shaping strategic decisions across the business. Key Responsibilities: Develop and optimise scorecards and pricing models using statistical and machine learning methods Translate complex data into actionable insights for commercial stakeholders Work closely with operational teams to embed models and monitor performance Drive … innovation by supporting the team’s growth in advanced analytics and machine learning techniques Candidate Profile You’ll need either: A Master’s or PhD in a STEM subject or 1–2 years’ relevant experience in a modelling role within financial services Essential: Strong coding ability in Python … Desirable: SQL proficiency Exposure to credit risk, collections, or pricing Knowledge of machine learning methods and practical applications Package Overview £40,000 base salary Annual performance bonus Pension scheme Private healthcare Register your interest by sending your CV to Daniel Abbasi via the apply link on this page. More ❯

value, and together, we're scaling that impact even further. Your mission To partner with customers across various sectors, leveraging the latest advancements in machine learning, data science, and AI to solve real-world commercial challenges. You'll play a key role in transforming how customers operate by … to on-site customer teams, handling diverse situations with independence and responsibility. Stay up-to-date with technological developments, research, and emerging trends in machine learning, AI, and data science. Apply expertise in statistical modeling, forecasting, optimization, and advanced analytics to address customer needs. Communicate complex data insights … business value. Continuously seek opportunities to expand your role and impact as UiPath grows. What you'll bring to the team Enthusiastic expertise in machine learning, data science, AI, and a passion for innovative applications. Strong programming skills or the ability to quickly learn new technologies, with experience More ❯

Location: [Manchester – Hybrid 3 days in the office/Home working] 💷 Salary: £75,000 - £100,000 base (dependent on experience) Senior AI/ML Engineer – Behavioural Biometrics/Data Science – Early Equity Opportunity We’re looking for candidates with strong experience in Computational Linguistics to help build and refine intelligent … on the horizon, this is the ideal time to get in early and make a defining impact. We’re seeking a Senior AI/ML Engineer with a data science foundation , strong academic background (MSc/PhD preferred), and a proven track record of building and deploying real-world AI … systems from research to production. The Opportunity - Senior AI/ML Engineer: As a senior member of this growing team, you’ll help architect and scale intelligent systems that analyse complex behavioural data (e.g. sensor, motion, touch, or biometric patterns). You'll work across the full lifecycle, from R More ❯

Manchester – Hybrid 3 days in the office/Home working] 💷 Salary: £75,000 - £100,000 base (dependent on experience) Data Scientist - (Senior AI/ML Engineer) – Behavioural Biometrics/Data Science – Early Equity Opportunity We’re looking for candidates with strong experience in Computational Linguistics to help build and refine … this is the ideal time to get in early and make a defining impact. We’re seeking a Data Scientist/Senior AI/ML Engineer with a data science foundation , strong academic background (MSc/PhD preferred), and a proven track record of building and deploying real-world AI … systems from research to production. The Opportunity - Data Scientist - Senior AI/ML Engineer: As a senior member of this growing team, you’ll help architect and scale intelligent systems that analyse complex behavioural data (e.g. sensor, motion, touch, or biometric patterns). You'll work across the full lifecycle More ❯

AI into every layer of our platform. Our Data Science team-part of the Product organisation-is dedicated to two vital missions: bringing impactful machine learning capabilities into our products, and learning from real user behaviour to make them even better. As a Data Scientist, you'll … team and build a world-class AI capability at Matillion. What we are looking for Deep AI Knowledge : MSc, PhD, or equivalent experience in ML, NLP, or a related discipline, with strong understanding of LLM internals. Toolbelt Ready : Proficient in Python and LLM tools like Hugging Face, LangChain, or OpenAI … technology to load, transform, sync, and orchestrate their data for a wide range of use cases from insights and operational analytics, to data science, machine learning, and AI. With over $300M raised from top Silicon Valley investors, we are on a mission to power the data productivity of More ❯

you will lead strategic data initiatives aimed at optimising customer engagement, pricing, and inventory management across our retail operations. Key Responsibilities: Develop and deploy machine learning models to support business objectives (e.g., customer segmentation, demand forecasting, price optimisation). Conduct deep-dive analyses on customer behaviour, sales trends … SQL, and data visualisation tools (e.g., Power BI, Tableau). Hands-on experience with cloud platforms such as AWS, GCP, or Azure. Expertise in machine learning, statistical modeling, and predictive analytics. Excellent communication and stakeholder management skills. Desirable: Experience working with large-scale retail datasets (e.g., POS, CRM More ❯

per week. Our Data Environment Our Data teams are aligned to divisions covering the following Banking Services & Products, Customer Identity & Financial Crime and Data & ML Engineering. Our Data teams are excited about delivering meaningful and impactful insights to both the business and more importantly our customers. Hear from the team … and challenges, who can work across teams do great things here at Starling, to continue changing banking for good. Responsibilities: Build, test and deploy machine learning models which will improve and/or automate decision making. You will be part of a team delivering data driven solutions and … a professional Data Scientist Python, which makes up the majority of our Data Science stack. Proven experience in data science, with a focus on machine learning model development/Large Language Model (LLM) application development. Experience deploying Generative AI applications to production in GCP (VertexAI) or AWS (Bedrock More ❯

you will lead strategic data initiatives aimed at optimising customer engagement, pricing, and inventory management across our retail operations. Key Responsibilities: Develop and deploy machine learning models to support business objectives (e.g., customer segmentation, demand forecasting, price optimisation). Conduct deep-dive analyses on customer behaviour, sales trends … SQL, and data visualisation tools (e.g., Power BI, Tableau). Hands-on experience with cloud platforms such as AWS, GCP, or Azure. Expertise in machine learning, statistical modeling, and predictive analytics. Excellent communication and stakeholder management skills. Desirable: Experience working with large-scale retail datasets (e.g., POS, CRM More ❯

having the knowledge to code directly to underlying models when required. The role will allow you to develop your skills in areas such as machine learning, cognitive services, and cloud-based AI operations. The successful candidate will work within a wider development team to create innovative AI enabled … secure, and able to meet the demands placed upon them. Key responsibilities include: Designing and implementing AI solutions using Azure AI services, including Azure Machine Learning, Cognitive Services, and Bot Services Developing and maintaining scalable and secure cloud-based applications on the Azure, Power and wider Microsoft More ❯

analytics, and engineering teams to transform insights into impactful, data-driven strategies. DATA SCIENTIST - ESSENTIAL SKILLS Strong understanding of core data science methodologies, including machine learning algorithms and statistical analysis Proficient in developing end-to-end machine learning workflows using Python Passionate about collaborating with non More ❯

insights and recommendations to both internal teams and client stakeholders. Preferred Requirements: BSc or MSc in a relevant subject such as STEM, Data Science, Machine Learning etc + 2/3 years commercial experience. Strong proficient experience in Python for data analysis, modelling, and deployment. Advanced skills in … SQL for data manipulation and querying. Strong understanding of machine learning, statistics, and time-series forecasting techniques. Proven ability to communicate complex findings to both technical and non-technical audiences. Familiarity with MLOps principles including deployment, version control, and monitoring would be a great plus. A strong interest More ❯

globally, growing more than 10% per year, and entering at the rate of 3 new markets a year. Our AI (artificial intelligence) technology and ML (machine learning) algorithms ensure all fleet data delivers tangible benefits to our customers. Our insights transform operational efficiency, reducing costs, ensuring the safety More ❯

AI/ML Software Engineer– Start-Up 📍 Location: [Manchester - Hybrid 3 days in office/Home working 💷 Salary: £50,000 - £70,000 base (dependent on experience and expertise) We’re looking for an AI/ML Software Engineer with commercial experience and exposure to AI and Machine learning … robust software systems while exploring the exciting intersection of software engineering and intelligent technologies. If you’ve worked alongside data science teams, contributed to ML pipelines, or are keen to grow your skills in AI, we’d love to hear from you. Our client is an AI-driven company at … understand how people behave, move, and interact with technology to enhance security, identity verification, and user experience. They are looking for an AI/ML Software Engineer (ideally Full Stack or Back End) to join the growing team and help bring these intelligent systems to life. You’ll be key More ❯

resilient and explainable. About You: Experience in operational resilience, risk management, or business continuity in financial services or regulated environments. Knowledge of AI/ML technologies, model governance, responsible AI principles. Understanding of machine learning models, NLP, AI algorithms, and model lifecycle. Ability to assess and mitigate AI … Familiarity with resilience frameworks and regulations (e.g., PRA SS1/21, FCA PS21/3, DORA, NIST AI RMF). Experience with AI/ML platforms and monitoring tools (e.g., MLflow, Azure ML, SageMaker, Python). Excellent stakeholder management and communication skills. Desirable Skills: Technical background in AI/ML More ❯

the Founder, you will take full ownership of the Data Science solutions offering, with a strong focus on LLMs and cutting-edge AI/ML solutions . What You’ll Be Doing Engaging directly with clients across a diverse portfolio, delivering high-impact Data Science solutions from day one. Taking … a hands-on approach to designing, developing, and deploying ML/AI models. Supporting business development by identifying ML/AI opportunities with clients and participating in prospecting calls. Leading discovery phases, facilitating workshops, gathering requirements, and delivering strategy documents. Overseeing the full end-to-end lifecycle of AI/… ML model development, from concept to deployment and adoption. Training and handing over solutions to client stakeholders for seamless integration. Managing and mentoring one direct report, with plans for team growth in the future. Driving further analytical projects and securing additional work during project delivery. Projects You Could Work On More ❯