1 to 25 of 336 Machine Learning Jobs in the North West

tools like auto-scaling, Infrastructure as Code, and continuous delivery methodologies to optimize performance and accelerate delivery Key Responsibilities: Machine Learning Solution Development: Design, develop and deploy ML models, algorithms and agentic AI systems to address complex business challenges across a range of sectors Cloud & MLOps Management: Lead the implementation of ML solutions on AWS cloud (with heavy … use of Amazon SageMaker and related AWS services). Develop and maintain end-to-end CI/CD pipelines for ML projects, using infrastructure-as-code tools like AWS CloudFormation and Terraform to automate model deployment and system setup Project Leadership: Oversee the ML lifecycle from data preparation to model training, validation, and deployment. Make high-level design decisions on … model architecture and data pipelines. Mentor junior engineers and collaborate with data scientists, ML engineers, and Software Engineering teams to ensure successful delivery of ML projects Client & Stakeholder Collaboration: Collaborate with project managers and stakeholders across a range of sectors to gather requirements and translate business needs into technical solutions. Present findings and ML model results to non-technical audiences More ❯

tools like auto-scaling, Infrastructure as Code, and continuous delivery methodologies to optimize performance and accelerate delivery Key Responsibilities: Machine Learning Solution Development: Design, develop and deploy ML models, algorithms and agentic AI systems to address complex business challenges across a range of sectors Cloud & MLOps Management: Lead the implementation of ML solutions on AWS cloud (with heavy … use of Amazon SageMaker and related AWS services). Develop and maintain end-to-end CI/CD pipelines for ML projects, using infrastructure-as-code tools like AWS CloudFormation and Terraform to automate model deployment and system setup Project Leadership: Oversee the ML lifecycle from data preparation to model training, validation, and deployment. Make high-level design decisions on … model architecture and data pipelines. Mentor junior engineers and collaborate with data scientists, ML engineers, and Software Engineering teams to ensure successful delivery of ML projects Client & Stakeholder Collaboration: Collaborate with project managers and stakeholders across a range of sectors to gather requirements and translate business needs into technical solutions. Present findings and ML model results to non-technical audiences More ❯

tools like auto-scaling, Infrastructure as Code, and continuous delivery methodologies to optimize performance and accelerate delivery Key Responsibilities: Machine Learning Solution Development: Design, develop and deploy ML models, algorithms and agentic AI systems to address complex business challenges across a range of sectors Cloud & MLOps Management: Lead the implementation of ML solutions on AWS cloud (with heavy … use of Amazon SageMaker and related AWS services). Develop and maintain end-to-end CI/CD pipelines for ML projects, using infrastructure-as-code tools like AWS CloudFormation and Terraform to automate model deployment and system setup Project Leadership: Oversee the ML lifecycle from data preparation to model training, validation, and deployment. Make high-level design decisions on … model architecture and data pipelines. Mentor junior engineers and collaborate with data scientists, ML engineers, and Software Engineering teams to ensure successful delivery of ML projects Client & Stakeholder Collaboration: Collaborate with project managers and stakeholders across a range of sectors to gather requirements and translate business needs into technical solutions. Present findings and ML model results to non-technical audiences More ❯

tools like auto-scaling, Infrastructure as Code, and continuous delivery methodologies to optimize performance and accelerate delivery Key Responsibilities: Machine Learning Solution Development: Design, develop and deploy ML models, algorithms and agentic AI systems to address complex business challenges across a range of sectors Cloud & MLOps Management: Lead the implementation of ML solutions on AWS cloud (with heavy … use of Amazon SageMaker and related AWS services). Develop and maintain end-to-end CI/CD pipelines for ML projects, using infrastructure-as-code tools like AWS CloudFormation and Terraform to automate model deployment and system setup Project Leadership: Oversee the ML lifecycle from data preparation to model training, validation, and deployment. Make high-level design decisions on … model architecture and data pipelines. Mentor junior engineers and collaborate with data scientists, ML engineers, and Software Engineering teams to ensure successful delivery of ML projects Client & Stakeholder Collaboration: Collaborate with project managers and stakeholders across a range of sectors to gather requirements and translate business needs into technical solutions. Present findings and ML model results to non-technical audiences More ❯

predictions and solving complex problems with machine learning techniques. Always with an ethical and accurate lens. A Machine Learning & AI Engineer designing and deploying robust ML systems that bring data science to life through automation, CI/CD, and modern cloud engineering practices. Wherever you land, youll be working with some of the biggest datasets in … deploy machine learning models for fraud detection, credit risk, customer segmentation, and behavioural analytics using scalable frameworks like TensorFlow, PyTorch, and XGBoost. Engineer robust data pipelines and ML workflows using Apache Spark, Vertex AI, and CI/CD tooling to ensure seamless model delivery and monitoring. Apply advanced techniques in deep learning, natural language processing (NLP), and … it. Apply it. Keep going Your personal learning plan could include: Up to three Stanford Artificial Intelligence Professional Programmes Google Cloud certifications Coursera courses on everything from advanced ML to AI ethics and explainability. Because your career is more than your day job, youll get stuck into side-of-the-desk projects to build your network, test fresh ideas More ❯

automation and data-driven insights. This role is ideal for a highly experienced Product Manager ideally from an eCommerce, travel or fintech background, with experience across dynamic pricing and machine learning–based decisioning. What You'll Be Doing Day To Day You'll drive innovation across areas such as: Dynamic & Personalised Pricing: Using algorithms, Data and/or … machine learning to optimise prices, promotions and conversion. Commercial Tooling: Building intelligent tools and dashboards for finance, marketing, and commercial teams to manage margin, discounts, and profit optimisation. Scalable Infrastructure: Simplifying and modernising pricing systems for performance, flexibility, and real-time decision-making. Own the Product Strategy & Roadmap – Define and deliver a clear vision for pricing and checkout … re Looking For Someone With Proven experience as a Product Manager in eCommerce, travel, or fintech, ideally working on pricing products. A strong understanding of dynamic pricing, algorithms, or machine learning applications in a commercial context. Excellent technical fluency, able to collaborate with engineers and data scientists and translate complex concepts into clear requirements. A commercial mindset, balancing More ❯

automation and data-driven insights. This role is ideal for a highly experienced Product Manager ideally from an eCommerce, travel or fintech background, with experience across dynamic pricing and machine learning–based decisioning. What You'll Be Doing Day To Day You'll drive innovation across areas such as: Dynamic & Personalised Pricing: Using algorithms, Data and/or … machine learning to optimise prices, promotions and conversion. Commercial Tooling: Building intelligent tools and dashboards for finance, marketing, and commercial teams to manage margin, discounts, and profit optimisation. Scalable Infrastructure: Simplifying and modernising pricing systems for performance, flexibility, and real-time decision-making. Own the Product Strategy & Roadmap – Define and deliver a clear vision for pricing and checkout … re Looking For Someone With Proven experience as a Product Manager in eCommerce, travel, or fintech, ideally working on pricing products. A strong understanding of dynamic pricing, algorithms, or machine learning applications in a commercial context. Excellent technical fluency, able to collaborate with engineers and data scientists and translate complex concepts into clear requirements. A commercial mindset, balancing More ❯

automation and data-driven insights. This role is ideal for a highly experienced Product Manager ideally from an eCommerce, travel or fintech background, with experience across dynamic pricing and machine learning–based decisioning. What You'll Be Doing Day To Day You'll drive innovation across areas such as: Dynamic & Personalised Pricing: Using algorithms, Data and/or … machine learning to optimise prices, promotions and conversion. Commercial Tooling: Building intelligent tools and dashboards for finance, marketing, and commercial teams to manage margin, discounts, and profit optimisation. Scalable Infrastructure: Simplifying and modernising pricing systems for performance, flexibility, and real-time decision-making. Own the Product Strategy & Roadmap – Define and deliver a clear vision for pricing and checkout … re Looking For Someone With Proven experience as a Product Manager in eCommerce, travel, or fintech, ideally working on pricing products. A strong understanding of dynamic pricing, algorithms, or machine learning applications in a commercial context. Excellent technical fluency, able to collaborate with engineers and data scientists and translate complex concepts into clear requirements. A commercial mindset, balancing More ❯

Role: Machine Learning Researcher Location: Remote We are hiring experienced ML researchers and PhD professionals to contribute to cutting-edge AI research — advancing model benchmarking, evaluation, and real-world performance analysis. Key Responsibilities: Design and compile complex ML tasks inspired by real-world applications. Validate implementations, assess reproducibility, and identify performance gaps. Provide structured, high-quality feedback on … model behavior and results. Requirements: PhD or 5+ years of experience in Machine Learning, AI Research, or related fields. Strong grasp of ML experimentation, benchmarking, and evaluation methodologies. Excellent analytical, research, and communication skills. Ability to work independently in a remote, flexible environment. Perks: Fully remote, flexible schedule (20–40 hrs/week, extendable). Competitive hourly compensation More ❯

Role: Machine Learning Researcher Location: Remote We are hiring experienced ML researchers and PhD professionals to contribute to cutting-edge AI research — advancing model benchmarking, evaluation, and real-world performance analysis. Key Responsibilities: Design and compile complex ML tasks inspired by real-world applications. Validate implementations, assess reproducibility, and identify performance gaps. Provide structured, high-quality feedback on … model behavior and results. Requirements: PhD or 5+ years of experience in Machine Learning, AI Research, or related fields. Strong grasp of ML experimentation, benchmarking, and evaluation methodologies. Excellent analytical, research, and communication skills. Ability to work independently in a remote, flexible environment. Perks: Fully remote, flexible schedule (20–40 hrs/week, extendable). Competitive hourly compensation More ❯

Role: Machine Learning Researcher Location: Remote We are hiring experienced ML researchers and PhD professionals to contribute to cutting-edge AI research — advancing model benchmarking, evaluation, and real-world performance analysis. Key Responsibilities: Design and compile complex ML tasks inspired by real-world applications. Validate implementations, assess reproducibility, and identify performance gaps. Provide structured, high-quality feedback on … model behavior and results. Requirements: PhD or 5+ years of experience in Machine Learning, AI Research, or related fields. Strong grasp of ML experimentation, benchmarking, and evaluation methodologies. Excellent analytical, research, and communication skills. Ability to work independently in a remote, flexible environment. Perks: Fully remote, flexible schedule (20–40 hrs/week, extendable). Competitive hourly compensation More ❯

Role: Machine Learning Researcher Location: Remote We are hiring experienced ML researchers and PhD professionals to contribute to cutting-edge AI research — advancing model benchmarking, evaluation, and real-world performance analysis. Key Responsibilities: Design and compile complex ML tasks inspired by real-world applications. Validate implementations, assess reproducibility, and identify performance gaps. Provide structured, high-quality feedback on … model behavior and results. Requirements: PhD or 5+ years of experience in Machine Learning, AI Research, or related fields. Strong grasp of ML experimentation, benchmarking, and evaluation methodologies. Excellent analytical, research, and communication skills. Ability to work independently in a remote, flexible environment. Perks: Fully remote, flexible schedule (20–40 hrs/week, extendable). Competitive hourly compensation More ❯

Head of AI- (Associate Director) and take the helm of their artificial intelligence transformation. This is dynamic and progressive role where you will define the organisations generative AI and machine learning strategy, with hands-on technical leadership to build production-grade AI capabilities that deliver cutting edge client solutions and optimise business performance The Role Own the company … LLMs, NLP, and RAG systems Strong knowledge of Knowledge Graphs and semantic technologies Proficient in Python, SQL, PyTorch/TensorFlow Experience with DevOps, CI/CD, DevSecOps and secure ML pipelines. Proven experience in AI/ML/Data science leadership with measurable business impact. Degree in Computer Science, Machine Learning, Data Science or related STEM field Imagine More ❯

Head of AI- (Associate Director) and take the helm of their artificial intelligence transformation. This is dynamic and progressive role where you will define the organisations generative AI and machine learning strategy, with hands-on technical leadership to build production-grade AI capabilities that deliver cutting edge client solutions and optimise business performance The Role Own the company … LLMs, NLP, and RAG systems Strong knowledge of Knowledge Graphs and semantic technologies Proficient in Python, SQL, PyTorch/TensorFlow Experience with DevOps, CI/CD, DevSecOps and secure ML pipelines. Proven experience in AI/ML/Data science leadership with measurable business impact. Degree in Computer Science, Machine Learning, Data Science or related STEM field Imagine More ❯

day. Youll focus on engineering, development, and deployment the practical build of the solutions that bring ideas to life. One important note: if your passion lies in AI and machine learning, this isnt the scheme for you. Those roles sit within our Data Science and AI Industrial Placement Scheme. One year. Real impact Aligned to one platform (like … itself through feedback and innovation challenges. Support to succeed Youll get: In-house training on Engineering the Lloyds Way. A buddy and experienced mentors to guide you through. Agile learning culture with access to Viva Learning, Learning Management Systems and on-demand courses. Networking opportunities with colleagues across the Group. It all adds up to targeted training More ❯

your future career. You will design and build software solutions that harness the power of AI tools and modern development practices. Role You’ll receive a blend of structured learning, hands-on experience, and tailored apprenticeship training to help you grow into a confident tech professional. From day one, you’ll be supported by mentors, coaches, and a dedicated … week training programme designed to give you a strong foundation in both technical and professional skills. You’ll explore the fundamentals of AI, and data handling while also learning how modern engineering teams operate—using agile methods, collaboration tools, and real-world problem solving. Project-based learning: You’ll work on real challenges for real clients. With support … a wide range of technologies and systems, along with training to help you understand and implement them effectively. Professional Development: We invest in your continuous growth through our extensive learning portal, offering curated pathways, classroom-based and self-paced courses, and on-demand resources to keep your skills sharp throughout your apprenticeship. Apprenticeship Training: You’ll study towards the More ❯

Role: Machine Learning Text Evaluator (Remote) Location: Remote (US, UK, CA, IE, AU, NZ) Pay: Competitive monthly compensation up to $10,000, based on role and performance We're looking for detail-oriented professionals to support a variety of content and AI-related evaluation tasks. This role involves reviewing written material, analysing responses, and helping enhance the quality More ❯

Role: Machine Learning Text Evaluator (Remote) Location: Remote (US, UK, CA, IE, AU, NZ) Pay: Competitive monthly compensation up to $10,000, based on role and performance We're looking for detail-oriented professionals to support a variety of content and AI-related evaluation tasks. This role involves reviewing written material, analysing responses, and helping enhance the quality More ❯

Role: Machine Learning Text Evaluator (Remote) Location: Remote (US, UK, CA, IE, AU, NZ) Pay: Competitive monthly compensation up to $10,000, based on role and performance We're looking for detail-oriented professionals to support a variety of content and AI-related evaluation tasks. This role involves reviewing written material, analysing responses, and helping enhance the quality More ❯

Role: Machine Learning Text Evaluator (Remote) Location: Remote (US, UK, CA, IE, AU, NZ) Pay: Competitive monthly compensation up to $10,000, based on role and performance We're looking for detail-oriented professionals to support a variety of content and AI-related evaluation tasks. This role involves reviewing written material, analysing responses, and helping enhance the quality More ❯

Role: Machine Learning Text Evaluator (Remote) Location: Remote (US, UK, CA, IE, AU, NZ) Pay: Competitive monthly compensation up to $10,000, based on role and performance We're looking for detail-oriented professionals to support a variety of content and AI-related evaluation tasks. This role involves reviewing written material, analysing responses, and helping enhance the quality More ❯

Translate analysis and trends into recommendations for business logic to improve identity and fraud conversion rates or fraud rates Develop scalable frameworks to manage tiered cutoffs for proprietary fraud machine learning models Evaluate innovative data sources to solve fraud risk, and partner with the data engineering team to develop and maintain the data pipelines for our core datasets … for analytical purposes. Own end-to-end analytics workflow, including defining success and performance metrics, socialising them across the organisation, and creating actionable dashboards and reports Partner with Machine Learning on building fraud and identity verification strategies for new product, market, and user segments Partner closely with Product and Engineering to identify highest impact points in the funnel More ❯

Translate analysis and trends into recommendations for business logic to improve identity and fraud conversion rates or fraud rates Develop scalable frameworks to manage tiered cutoffs for proprietary fraud machine learning models Evaluate innovative data sources to solve fraud risk, and partner with the data engineering team to develop and maintain the data pipelines for our core datasets … for analytical purposes. Own end-to-end analytics workflow, including defining success and performance metrics, socialising them across the organisation, and creating actionable dashboards and reports Partner with Machine Learning on building fraud and identity verification strategies for new product, market, and user segments Partner closely with Product and Engineering to identify highest impact points in the funnel More ❯

Translate analysis and trends into recommendations for business logic to improve identity and fraud conversion rates or fraud rates Develop scalable frameworks to manage tiered cutoffs for proprietary fraud machine learning models Evaluate innovative data sources to solve fraud risk, and partner with the data engineering team to develop and maintain the data pipelines for our core datasets … for analytical purposes. Own end-to-end analytics workflow, including defining success and performance metrics, socialising them across the organisation, and creating actionable dashboards and reports Partner with Machine Learning on building fraud and identity verification strategies for new product, market, and user segments Partner closely with Product and Engineering to identify highest impact points in the funnel More ❯

Translate analysis and trends into recommendations for business logic to improve identity and fraud conversion rates or fraud rates Develop scalable frameworks to manage tiered cutoffs for proprietary fraud machine learning models Evaluate innovative data sources to solve fraud risk, and partner with the data engineering team to develop and maintain the data pipelines for our core datasets … for analytical purposes. Own end-to-end analytics workflow, including defining success and performance metrics, socialising them across the organisation, and creating actionable dashboards and reports Partner with Machine Learning on building fraud and identity verification strategies for new product, market, and user segments Partner closely with Product and Engineering to identify highest impact points in the funnel More ❯