1 to 25 of 62 Machine Learning Jobs in Manchester

thoughtful, challenging, and purposeful, rather than driven by novelty or trend. What you'll be doing\n You'll take ownership of complex ML problems, applying scientific thinking and pragmatism in equal measure. \n You will: \n \n Lead end-to-end machine learning delivery , from problem definition … selected external partners working at the leading edge of AI \n \n \nWhat we're looking for\n This role suits a senior ML practitioner who values judgement, evidence, and outcomes over theoretical or tooling purity. \n Essential experience: \n \n Proven experience operating at senior practitioner level ...

fine-tuning existing models or optimizing yesterday's algorithms. We're architecting the next generation: sophisticated agentic AI systems, intelligent automation that thinks, and ML capabilities that will redefine how credit analysis happens and how global financial markets consume insights. This is AI's moment at Fitch … moving decisively. We have executive sponsorship, significant investment, and we're establishing Toronto as our AI innovation center. As a Lead ML Engineer, you'll be a technical champion driving this transformation—building breakthrough ML systems that others will study, mentoring engineers who will become tomorrow's AI leaders ...

81149Category: AI/Machine Learning Software EngineeringLocation: London, United Kingdom; Manchester, Greater Manchester, United KingdomSchedule: Full time, DayPosted: 2026-09-07We're seeking a future team member for the role of Director …/Machine Learning Software Engineer to join our team. This role is located in Manchester or London. Role Summary: The AI/ML Software Engineering within the Enterprise Transformation Hub will help drive the acceleration of AI-enabled solution delivery across the ecosystem. This role is responsible ...

delivery tools. Experience across the data science lifecycle, including model development, deployment, monitoring and maintenance. Predictive or prescriptive analysis experience, including predictive modelling, machine learning or data mining. Ability to identify applications of machine learning to business problems and communicate findings clearly. Experience with cloud deployment … commercial development and tuning of machine learning models, API development, SQL, DevOps, MLOps or CI/CD would be useful. A relevant graduate or postgraduate qualification, or equivalent experience in a discipline such as engineering, mathematics, physics or statistics, is also welcomed. Key responsibilities:Data science lifecycle Apply ...

seeking a Staff Machine Learning Engineer with 8+ years of experience to lead the design and delivery of production AI/ML solutions across Fitch Group. You will set technical direction, lead complex initiatives, and collaborate with product squads, business partners, and cross-functional teams to integrate advanced … capabilities into flagship products and workflows. The AI Implementation Team focuses on: Implementing AI/ML technology in collaboration with business partners and product squads Developing and supporting enterprise-level AI exploration tools and capabilities Providing guidance for efficient and secure development and deployment of AI What We Offer ...

Opportunity A leading financial consultancy is seeking an experienced Senior Data Scientist to deliver AI, Machine Learning and Data Science solutions for major financial services clients. This is an excellent opportunity to lead technical delivery, shape AI strategy and work on cutting-edge technologies within a client-facing … environment. Key Responsibilities Deliver AI and machine learning solutions using modern data science techniques. Lead technical design and architecture discussions. Manage and mentor small teams of Data Scientists. Develop and deploy production-grade machine learning models. Engage with senior stakeholders and contribute to business development initiatives. ...

data science, behavioural insights and digital technology to help organisations connect more effectively with the communities they serve. Their cloud-based SaaS platform combines machine learning, AI and sophisticated web technology to support hundreds of thousands of customer interactions every week across sectors including Social Housing, Local Government …/TypeScript frontend. While previous ColdFusion experience is not required, you'll need strong commercial experience with another server-side technology and be comfortable learning CFML. You'll work closely with Software Engineering, Data Science, DevOps, QA and Business Analysis teams to develop secure, reliable and scalable software. ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

Opportunity A leading financial consultancy is seeking a Senior AI & ML Engineer to lead the design, development and deployment of cutting-edge AI, Machine Learning and Generative AI solutions. You'll play a key role in shaping technical strategy, building production-grade AI systems and driving engineering best … practices across complex client engagements. Key Responsibilities Lead the design and delivery of AI, Machine Learning, Agentic AI and RAG-based solutions. Build and deploy production-grade models using Python, PyTorch and modern transformer architectures. Design scalable MLOps frameworks, CI/CD pipelines and model deployment strategies. Develop ...

design, develop and deploy AI-powered solutions that drive business value and improve operational efficiency. This role will focus on building and optimising machine learning models, generative AI applications, and intelligent automation solutions while working closely with technical and business stakeholders. The successful candidate will combine strong software … skills with practical experience in AI technologies, helping to shape and deliver the organisation's AI strategy. Key ResponsibilitiesDesign, build, and deploy AI and machine learning solutions in production environments. Develop and optimise Large Language Model (LLM) applications. Create AI-powered copilots, chatbots, knowledge management solutions, and workflow ...

client is a global financial services and investment company. Vice President, AI/Machine Learning Data Engineer 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 … 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 ...

driven engineering practices, fostering a culture of continuous learning and experimentationPartner with Architecture and Data Science teams to define best practices for ML model deployment, data pipeline design, and cloud infrastructure standardsConduct thorough code reviews with a focus on AI-assisted quality, providing constructive feedback to enhance code quality … fundamentally enhance how software is designed, built, tested, and deployedHands-on experience with machine learning concepts and the ability to integrate ML models into production applications and data pipelinesProficiency with Snowflake for data warehousing, analytics, and building scalable data platformsExperience designing and building event streaming architectures using technologies ...

maintain data pipelines that collect, clean and transform customer and internal data Develop data analysis and statistical models using R Build, test and maintain machine learning and predictive models Develop and deploy R-based applications and data workflows within AWS Work with structured and unstructured data to identify … experience in data analysis or data science 1+ years' commercial experience developing in R using RStudio/Posit Strong working knowledge of statistics and machine learning Hands-on experience building or maintaining ETL/ELT data pipelines Practical experience working with AWS, ideally including S3 and a managed ...

pace and become job-ready in as little as afew weeks. Our programme includes: Official AWS Certified Cloud Practitioner certification Training in Python, Machine Learning, and AI systems Hands-on projects using real-world AI tools and technologies Professional CV and LinkedIn support Interview preparation Dedicated recruitment support … cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: AI Engineer: £45,000 £60,000 Machine Learning Engineer: £60,000 £75,000 Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes ...

Lead high-impact data science initiatives end-to-end, including problem framing, methodology selection, experiment development, implementation partnership, and impact measurement. Build and deliver machine learning and reinforcement learning solutions to improve player engagement, retention, monetization, and operational outcomes. Lead the modeling framework for complex systems, guaranteeing … related quantitative field, or equivalent experience in practice. Experience: 5+ years of professional data science experience. You have delivered at least 3 data or ML products from problem definition to production deployment and monitoring. Demonstrated proficiency in clustering, predictive modeling, reinforcement learning, and Bayesian statistics. Hands-on experience ...

ML/LLM Research Engineer, National Security £80,000 to £90,000 + 10% bonus for DV clearance Manchester | Hybrid/Secure Site Working | Permanent Ncounter is supporting a growing technology consultancy looking for an experienced ML Research Engineer to join a specialist team working across AI, machine learning … into their architecture, behaviour or security A strong mathematical or STEM background, with MSc or PhD-level research particularly attractive Exposure to AI/ML security, model safety, explainability or similar areas would be beneficial Broader ML engineering skills, allowing you to move between research-led and more traditional engineering ...

useful. Implement appropriate access controls, security and privacy practices to support GDPR and FCA requirements. Prepare the platform for future analytics, AI and machine learning applications. Evaluate tooling and contribute to decisions on the wider data architecture. What we’re looking for Commercial experience delivering and supporting production … financial or regulatory datasets. Streaming technologies such as Kafka and real-time data processing. Building datasets and processes for regulatory reporting. Supporting analytics or machine learning use cases. Experience working within a regulated industry. The package The role offers a £50,000–£75,000 salary, alongside a generous ...

role, you will work with extensive datasets develop models that determine odds and power in-play betting decisions while leveraging state-of-the-art machine learning techniques to analyse and interpret complex sports data. Our fast-paced, delivery-focused environment offers significant opportunities for technical growth and innovation. … related quantitative field. Proven success in leading the design, development, and deployment of sophisticated predictive models. Expertise in Python/R and ML frameworks, such as scikit-learn, TensorFlow, or PyTorch, Proven ability to design and implement complex machine learning solutions and guiding best practice. Deep understanding ...

ready to step up. We'd love to hear from current Directors or Heads of AI, as well as Lead or Principal AI/ML Engineers who are ready for their first senior leadership role. What you'll do Define and lead the organisation's AI strategy and roadmap, reporting … team. Identify and deliver AI opportunities across client services, professional delivery, internal operations, knowledge management and commercial growth. Work with Generative AI, LLMs, Machine Learning, RAG, vector search and knowledge graphs. Build and lead a cross-functional AI team, bringing together engineers and professional subject matter experts. Establish ...

beneath enterprise performance management. You'll shape how EPM platforms stitch together with the modern data platforms finance now runs on, and how machine learning and generative AI make planning and forecasting sharper, faster and more trusted. You'll build real credibility across both finance planning … including predictive forecasting and generative or agentic use cases; familiarity with SQL, APIs and modern data-integration technologies, and some exposure to Python or ML platforms (deep engineering isn't required); relevant EPM, cloud-data or AI certifications; and a professional finance or accounting qualification (ACA, ACCA, CIMA or equivalent ...

Scientist, you'll turn complex and often loosely defined business questions into clear, actionable insight. You'll use Python, SQL, statistical methods and appropriate machine-learning techniques to understand what's happening, why it's happening and what could happen next. You'll combine analytical rigour with commercial … forecasting methods. Experience developing customer churn, lifetime value, propensity, anomaly-detection or segmentation models. Experience analysing financial, operational, customer or risk data. Experience using machine-learning techniques beyond traditional statistical analysis. Experience with Snowflake or another cloud data platform, Streamlit, and Power BI Experience in financial services ...

used by analysts worldwide with direct visibility to your contributions • Modern technology stack – Work with Python, React, AWS, Kubernetes, and emerging AI technologies • Continuous learning – Training, certifications, conferences, and clear paths to senior/principal/architect tracks • Flexible environment – Work from our Manchester office with hybrid flexibility, competitive … cross-functional teams and communicate technical concepts clearly What Would Make You Stand Out: • AI and Machine Learning – Understanding of AI/ML concepts, experience with LLMs, prompt engineering, or integrating AI capabilities into applications • Data Technologies – Experience with Kafka, PySpark, Parquet and Avro data formats, Apache Airflow ...

structures, performance optimisation techniques, object-oriented programming. Experience using modern AI-assisted and agentic development workflows in day-to-day engineering using AI/ML APIs and SDKsHands-on experience developing RAG solutions or working with LLMs for chatbots is preferredIn-depth understanding of CI/CD and the tools ...

develop scalable solutions and lead technical delivery across a range of AI and cloud projects. Responsibilities will include: Designing and delivering Generative AI and Machine Learning solutions Building applications using LLMs, RAG frameworks and AI orchestration tools Working directly with clients to understand business challenges and define ...