1 to 25 of 374 Permanent Machine Learning Jobs in the North of England

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 ...

Machine Learning Research Engineer – NLP/LLM An incredible opportunity for a Machine Learning Research Engineer to work on researching and investigating new concepts for an industry-leading, machine-learning software company in Cambridge, UK. This unique opportunity is ideally suited to those with … Ph.D. relating to classic Machine Learning and Natural Language Processing and its application to an ever-advancing technical landscape. On a daily basis you will be working on the very cutting-edge of machine-learning including prototyping, building and implementing new approaches to AI problems. Location ...

Near Real-Time and Batch Inferencing: Use infrastructure like Spark and Ray to stand up inferencing services that integrate with operational/analytics workloads. ML Infrastructure: Help build a first-class machine learning platform from the ground up which helps manage the entire model lifecycle: feature engineering, model … experience in applied machine learning on real recommendations use cases (brownie points for productionised sequential learning use cases!). Experience with ML/distributed ML frameworks like Ray, Spark-MLlib, TensorFlow etc. Experience with real-time scoring/evaluation of models with low latency constraints. Great coding ...

Architecture, and Portfolio Management. The role will sit within the Data service vertical, led by a Head of Data Engineering, and reports into the ML Engineering Manager. Machine Learning Engineer We are looking for an experienced machine learning engineer to join a newly formed ML Engineering … will be key to delivering robust, high‐impact machine learning solutions. You’ll be expected to understand and implement methodologies from the ML OPs life cycle. You’ll also be expected to work in an Agile environment, contributing to iterative development cycles, collaborating across disciplines, and adapting quickly ...

Continued success relies on building customer relationships with Roku that delight and engage them.Within Advertising Engineering, the MarTech team builds the products, services, and machine learning systems that help Roku deliver the right communication, creative, and marketing experience to the right customer at the right time … hand experience in applied machine learning on real recommendations use cases (brownie points for productionised sequential learning use cases!).Experience with ML/distributed ML frameworks like Ray, Spark-MLlib, TensorFlow etc.Experience with real-time scoring/evaluation of models with low latency constraints.Great coding skills ...

support flexible working – Flexible Working Options: Hybrid Working, Job Share Job Description Summary Job Description As a Senior Lead Machine Learning & AI Engineer within the Financial Wellbeing Platform, you’ll play a pivotal role in shaping and delivering ground breaking AI solutions that solve complex business challenges … capability roadmap, and ensure the delivery of high-quality, scalable models and solutions. Job Details Job Title: Senior Lead Data Scientist and AI & Machine Learning Engineer Salary: £92,701 - £108,000 Location(s): Manchester Hours: Full Time Working Pattern: Our work style is hybrid, which involves spending ...

learning roles focus on building models. This one is about making sure they actually work in production. You'll join a newly formed ML Engineering team within a large, established financial services business. The company already has data scientists developing models. It now needs the engineering capability to deploy … models. Deploy models in real-time and batch environments. Develop CI/CD pipelines that automate model testing and deployment. Help automate the full ML lifecycle, from dataset creation and training through to evaluation, deployment and monitoring. Build and improve the company's model registry. Monitor production ML services ...

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 ...

learning roles talk about building models. This one is about making sure they actually work in production. You'll join a newly formed ML Engineering team within a large, established financial services business. The company already has data scientists developing models; it now needs the engineering capability to deploy … models. Deploy models in real-time and batch environments. Develop CI/CD pipelines that automate model testing and deployment. Help automate the full ML lifecycle-from dataset creation and training through to evaluation, deployment and monitoring. Build and improve the company's model registry. Monitor production ML services ...

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 ...

machine learning or generative AI systems, such as LLM-powered applications, RAG pipelines, embeddings, prompt engineering, model evaluation, agents, model serving, or ML workflows. Experience designing and delivering cloud-based systems, for example using AWS, Google Cloud or Azure, along with modern DevOps practices and infrastructure-as-code … mentoring or supporting the development of software engineers. Fluency in our core software tooling: Git, Unix/Linux, Docker, and common open-source AI, ML or MLOps tools. Plus, a strong opinion on your IDE/editor of choice is welcome ;) You should be aware of the broad landscape ...

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 ...

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 ...

critical to ensuring the ongoing stability, security, and performance of CHEP’s globally deployed Machine Vision (MV) and Machine Learning (ML) Inspection Applications that support operational processes across CHEP.The role is essential to maintaining and supporting existing operational systems through effective troubleshooting, software validation, defect investigation … sustain defined best practices and continuous lessons learnedLocation - Spain and UKRole and ResponsibilitiesExecute testing, validation, simulation, and troubleshooting activities for existing MV/ML Inspection Applications to ensure stable and reliable operation.Implement and maintain testing and simulation procedures to assess the impact of new cybersecurity patches, security tools ...

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 ...

people working on them are extraordinary.We're growing our data and AI capability and looking for someone who genuinely loves working with data, machine learning, and generative AI and is a data and AI leader, to solve hard business problems. If you want your analytical work to drive … tooling — for example Power Platform, Power Automate, or equivalent.Direct experience working with cloud data platforms, specifically Microsoft Azure/Fabric.Relevant certifications in AI/ML, Power BI or Microsoft Azure is desirable. Experience working across multiple business domains or in a centre of excellence/shared analytics function.Knowledge of data ...

Machine Learning Engineer DATA & MACHINE LEARNING FINANCIAL SERVICES Most machine … learning roles focus on building models. This one is about making sure they actually work in production. You'll join a newly formed ML Engineering team within a large, established financial services business. The company already has data scientists developing models click apply for full job details ...

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 ...