1 to 25 of 314 Machine Learning Jobs in the North West

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 ...

Machine Learning Engineer Location: Flexible (Hybrid) Working set up: Hybrid Salary: Competitive + bonus + benefits SPG are working on behalf of an established financial services organisation investing heavily in its data science and AI capabilities. As part of an expanding team, the business is delivering a range … learning models from research through to production. You'll work closely with Data Scientists, Data Engineers and Software Engineers to build robust, scalable ML solutions while helping define best practices, tooling and automation across the full machine learning lifecycle. This role is ideal for someone with ...

solutions across the organization. The position will be based out of our London or Manchester office.Specific Emerging Technology team objectives are:Gen AI/ML technology implementation with business and product owners Emerging Tech Governance function covering policies, guidelines and processes to govern AI/ML enabled components as well … vendor evaluations and tool assessments for relevant use cases. Where appropriate, onboard the right solutions into the platform.Effectively communicate advanced data science/ML concepts in simple language to the business stakeholders always focusing on its applicability to Fitch businessDevelop and deploy machine learning and gen AI solutions ...

senior and lead is where compensation accelerates, especially in London. Mid Data Scientist Senior Senior Data Scientist Lead Principal/Lead/ML Scientist London commands a 20-35% premium over the rest of the UK, driven by finance, consulting and the big-tech engineering hubs. Manchester, Edinburgh, Bristol, Cambridge … teams Scientific scepticism and intellectual honesty Continuous learning in a fast-moving field Technology & software firms Product analytics, recommendation systems, search, personalisation and ML platform teams — the highest-paying non-finance roles, often with equity. Risk modelling, fraud detection, algorithmic trading, credit scoring and quantitative research — a major, well ...

delivering machine learning solutions in a Data Science, Machine Learning or closely related role, including ownership of models or substantial ML components. Strong practical understanding of supervised machine learning, feature engineering, model selection, tuning, validation and evaluation, with experience independently improving model performance. Strong … particularly AWS, would be beneficial. Familiarity with analytics engineering tooling such as dbt would be useful. Experience with large-scale or near-real-time ML systems would be beneficial. Experience mentoring junior team members, supporting peer review, sharing knowledge and acting as a key source of technical support would ...

Implement and continuously improve machine learning and AI operations frameworks Design and deliver tools, framework components and engineering practices for production-ready ML and AI systems Coach and guide a small team of MLOps Engineers, Analytics Engineers and AI Engineers Collaborate with Data Science, Pricing, Data Engineering … Software Development teams Evolve Machine Learning and AI Engineering standards and frameworks Enhance data pipelines and engineering infrastructure for scaled ML and AI solutions Support data acquisition, transformation, model discovery and development Ensure model auditability, versioning and data security Design and implement cloud AI Ops using Azure Optimise ...

skills we’re looking for to succeed in the role: Azure Cloud & AI Platform Expertise: Deep experience and strong understanding of Microsoft Azure (Azure ML, Azure Stream Analytics, Cognitive Services, Event Hubs, Synapse, and Data Factory). Data Science & AI Development Skills: Fluency in Python and common modelling frameworks such … emphasis on auditability, versioning, and data security. You’ll collaboratively design and implement AI Ops on cloud (Azure). You’ll optimise deployment of ML & AI model scoring code in production services. You’ll use CI/CD pipelines, manage the deployment and version management of large numbers of data ...

transformation in secure environments where quality, assurance and governance matter.Your work will help clients move from data science experimentation to production-ready AI and ML solutions that are scalable, explainable, secure and aligned to measurable mission outcomes.Connect to your career at Deloitte Deloitte drives progress. Using our vast range … action we take, guiding us to deliver impact how and where it matters most.Connect to your opportunity We are seeking to hire experienced ML Engineers within our AI Scaling and Transformation team, a centre of excellence in Deloitte’s Engineering, AI & Data service offering.You will work alongside clients, third parties ...

days per week, or 40% of your time, at one of our office sites. About this opportunity Do you want to shape how AI, machine learning and agentic technologies improve the financial wellbeing of millions of customers? As a Senior Lead Data Scientist and AI & Machine Learning … work with talented colleagues, solve meaningful problems and influence how AI is applied at enterprise scale. You'll join a collaborative environment where learning, innovation and continuous improvement are encouraged, and where you'll have the opportunity to make a genuine impact through your work. In this role ...

applied Data Science role where you’ll work closely with Product, Engineering, MLOps, Commercial and Marketing. You’ll turn clearly defined problems into practical ML solutions, evaluate whether they’re working and help bring them successfully into production. You’ll have the independence to make sound decisions within your problem … model performance with customer behaviour and business outcomes. Develop solutions with production use in mind, partnering with Engineering and MLOps to integrate models into ML pipelines and support deployment, monitoring and ongoing improvement. Write tested, modular and maintainable Python and SQL, contributing to shared codebases and reproducible workflows using established ...

unsupervised learning, deep learning, transformers, generative AI and agentic AI patterns.Ability to assess the suitability, limitations and risks of different AI/ML techniques for real client use cases.Experience working across at least part of the data science or machine learning lifecycle, from exploration and prototyping … across all the areas below, but we are particularly interested in people who can bring in one or more of them:Applying AI/ML techniques to text, audio, imagery, video, geospatial, graph or multimodal data.Developing solutions using machine learning frameworks such as PyTorch, TensorFlow, scikit-learn ...

Role: Senior Machine Learning Engineer (Text-to-Speech) Function: Text-to-Speech Join our Team! We are at the forefront of revolutionising Text-to-Speech (TTS) and Speech Synthesis in Conversational AI, and we're looking for a skilled Senior Machine Learning Engineer to join … expanding team. The Role As a Senior Machine Learning Engineer, you will be instrumental in deploying state-of-the-art Text-to-Speech models. You will be responsible for scaling and optimising TTS systems, ensuring they are production-ready and capable of running efficiently on large-scale deployments. ...

take, guiding us to deliver impact how and where it matters most.Connect to your opportunity We are seeking to hire talented AI/ML Engineers within our AI Scaling and Transformation team, a centre of excellence in Deloitte’s Engineering, AI & Data service offering.You will work alongside clients, third parties … technical capability with client-facing delivery, helping to translate business needs into production-ready AI and machine learning systems.As an AI/ML Engineer, you will play a key role in designing, developing and delivering data and AI solutions for our clients. In this role ...

Design, train, and deploy production-grade ML models. About the Role As a Senior Machine Learning Engineer, you will lead the design, development, and deployment of production-grade machine learning systems for global enterprise clients. You'll work at the intersection of research and engineering, translating … cutting‐edge papers into scalable, reliable solutions. This is a high‐impact role where you'll mentor junior engineers, shape our ML architecture, and collaborate directly with clients to solve their most complex challenges. Design and implement end-to-end ML pipelines from experimentation to production Lead model development across ...

specialists who develop novel AI solutions to mission focussed problems.In this role you will be responsible for the technical development of AI/ML projects, working alongside more senior members of the team, supporting projects from initial idea scoping right through to final project delivery both in customer and internal … part of a team, with some guidance and direction from seniors.Bring experience in developing and delivering data-centric solutions.Undertake research and applied AI/ML tasks on both customer and internal research projects.Work with autonomy on assigned tasks within project groups.Generate ideas for new research directions.Deliver AI/ML/ ...

this role you will work with high levels of autonomy and be responsible for the design, planning and technical leadership of multiple AI/ML projects. You will help lead and set technical and strategic direction for the group, support with customer and stakeholder engagement and deliver technical solutions … projects. Skills and Experience Requirements BSc in Machine Learning, Data Science, Computer Science, Mathematics or related field.Multiple years experience of delivering novel ML solutions to customers and internal stakeholders.Excellent coding practice using Python and associated ML packages (HuggingFace, TensorFlow, PyTorch), following best practices.Experience developing robust ML pipelines with ...

specialists who develop novel AI solutions to mission focussed problems.In this role you will be responsible for the technical development of AI/ML projects, working alongside more senior members of the team, supporting projects from initial idea scoping right through to final project delivery both in customer and internal … projects with minimal guidance.Brings experience in scoping, designing, and delivering data-centric solutions while working collaboratively across disciplines.Undertake research and applied AI/ML tasks on both customer and internal research projects.Generate ideas for new research directions and provide technical leadership in small project groups.Mentor more junior team members ...

Implementation Engineer ( Data Science/ML Background) Manchester | Hybrid (3 Days Office/2 Days Remote) A growing technology-led organisation is looking to appoint an AI Implementation Engineer to play a key role in driving AI adoption across the business. This is an exciting opportunity for someone with … Data Science and Machine Learning background who has evolved into delivering production AI solutions. You'll combine expertise across AI, ML, LLMs, data engineering and enterprise infrastructure to design, develop and implement AI solutions that create genuine business value. Working closely with IT, commercial stakeholders and operational teams ...

Description Vice President, AI/Machine Learning Data Engineer At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world … following ways: Design and develop AI-powered solutions to solve complex enterprise data and analytics problems Translate ambiguous business problems into structured AI/ML approaches and algorithms Build scalable architectures for AI solutions, including model pipelines, data processing, and decision systems Collaborate with platform, data, and product teams ...

sits at the intersection of Data Engineering, AI and Generative AI, giving you the opportunity to work across modern data platforms, scalable data pipelines, machine learning and LLM-enabled solutions.You must currently come from, or have recent experience working within, a consultancy or professional services environment, with experience … technical workstreams within larger data and AI transformation programmes.Design, build and maintain scalable data pipelines, datasets and data models.Develop solutions that support analytics, reporting, machine learning and AI use cases.Work with both structured and unstructured data from multiple sources.Develop and implement AI and machine learning solutions ...

identify high-value use cases across the business. AI Platform & API Engineering: Lead the development of scalable APIs and services to host AI and machine learning capabilities, managing the integration, maintenance and continuous improvement of workloads across Azure. Cross-Functional Delivery: Collaborate closely with Data Analysts, Data Engineers … closely related role, with demonstrable experience delivering production systems. Strong proficiency in Python and Node.js/TypeScript, with experience developing both AI/ML models and backend services. Hands-on experience developing applications using Large Language Models (LLMs), including prompt engineering, structured outputs, tool calling, retrieval-augmented generation ...

sits at the intersection of Data Engineering, AI and Generative AI , giving you the opportunity to work across modern data platforms, scalable data pipelines, machine learning and LLM-enabled solutions. You must currently come from, or have recent experience working within, a consultancy or professional services environment , with … within larger data and AI transformation programmes. Design, build and maintain scalable data pipelines, datasets and data models. Develop solutions that support analytics, reporting, machine learning and AI use cases. Work with both structured and unstructured data from multiple sources. Develop and implement AI and machine learning ...

deliver impact how and where it matters most.Connect to your opportunity We are seeking committed new talent to join our multidisciplinary Data Science and Machine Learning team, with a focus on our clients in the Defence and Security sector. Our goal is to work together with our clients … will involve working with key stakeholders to identify opportunities and requirements for data and AI projects, helping apply structured data analysis, data science, and machine learning techniques to enable actionable business insights, and promoting user adoption of the developed data tools and products.In your role, you will have ...

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/ ...

Senior AI/ML Consultant in AWS Professional Services, you will lead the delivery of cutting-edge artificial intelligence and machine learning solutions for our enterprise customers. You'll drive innovation in Artificial Intelligence and Machine Learning, shape technical strategy, and serve as a trusted advisor … customers throughout their AI transformation journey., 1. Lead end-to-end delivery of complex AI/ML engagements, from strategic planning through to pre-production deployment and optimisation 2. Architect and implement advanced solutions leveraging AWS's AI/ML services, with particular focus on Generative AI using Amazon Bedrock ...