Top Machine Learning Jobs in Manchester

Drives full-cycle sales of Data and AI solutions, including data readiness assessments, modern data platforms, governance, analytics, applied AI, and managed services. Builds pipeline, leads customer discovery, develops proposals and business cases, negotiates deals, and achieves revenue targets. Partners with account teams, Microsoft, and other vendors to deliver transformation opportunities. Advises senior technology stakeholders on data readiness, regulatory considerations, AI adoption, and multi-year commercial roadmaps.

Leads CDW’s UK Data & AI Solution Sales practice, defining strategy, propositions, go-to-market plans, and profitable growth. Builds data-readiness and AI-adoption offerings, manages senior vendor and customer relationships, drives revenue and partner programs, and ensures responsible, compliant delivery. Develops teams, certifications, forecasting, staffing, operational standards, and cross-functional collaboration across sales, security, cloud, delivery, marketing, legal, and compliance.

Lead the development and deployment of probabilistic and machine learning models powering real-time sports betting markets. Analyze large datasets, validate models against historical and live data, optimize accuracy and scalability, collaborate with trading and software teams, research novel techniques, and mentor junior data scientists.

Develop machine learning and statistical models, analyze large datasets, conduct exploratory analysis and controlled experiments, and deliver actionable insights for sports and gaming products. The role involves data sourcing and validation, scalable data science infrastructure, stakeholder collaboration, and communicating findings through visualizations, reports, and presentations.

Drive product and business impact through statistical modeling, experiment design, Bayesian marketing analysis, machine learning, NLP, LLM applications, and classifier implementation. Build growth metrics, monitoring pipelines, evaluation datasets, and AI trigger systems across search and Duck.ai. Analyze privacy-constrained data, deploy production-grade models, optimize SQL queries, and lead complex projects from scoping through production with minimal direction.

Software engineering intern supporting the Platform Engines group and Policy Engine for SailPoint’s cloud identity security platform. Responsibilities include developing software, procedures, and test solutions; collaborating with software and QA engineers, technical writers, and product managers; and working in Agile teams. The intern will gain exposure to cloud and software technologies including Golang, Angular, AWS, Docker, Kafka, Kubernetes, REST, SQL, and Temporal.

Design and deliver enterprise-grade machine learning systems and AI-powered applications for banking. Build scalable, secure, distributed applications and automated cloud, desktop, and ML pipelines. Apply MLOps practices for versioning, reproducibility, and observability while collaborating with cloud and site reliability engineering teams. Develop reusable libraries and business-critical, data-intensive solutions, aligning machine learning problems with business objectives. The role may include mentoring or people leadership.

Supports technical sales for HPC and AI solutions by gathering customer requirements, designing architectures, preparing proposals, delivering demonstrations and proof-of-concepts, and validating solutions. Collaborates with sales teams, customers, partners, and technical specialists to position solutions, manage opportunities, contribute to pipeline growth, and support successful knowledge transfer. The role also involves tracking emerging technologies, participating in forecasts, documenting activities, and developing expertise in enterprise infrastructure and cloud technologies.

Leads technical direction for GitLab’s Core DevOps services, covering CI, CD, planning, and source control. Defines architecture, quality metrics, migration strategies, and technical roadmaps; addresses systemic risk and complex design decisions; prototypes and writes code when needed; partners with Infrastructure, Security, SRE, and Product; adopts AI capabilities; mentors senior engineers; supports incident response and senior technical hiring.

Supports enterprise sales by discovering customer requirements, mapping them to SailPoint solutions, and delivering foundational implementations and proof-of-value engagements. Acts as a technical lead and consultative advisor, educating customers on architecture and best practices. Collaborates with sales, product, professional services, partners, and customer success teams while developing AI-driven and agentic solutions for demonstrations and customer outcomes.

Provides actuarial pricing and analytics support for Bupa’s UK insurance products. Responsibilities include analyzing portfolio performance, developing pricing recommendations, building models, evaluating customer and competitor trends, supporting product changes, interpreting results, and preparing reports for senior stakeholders. The role involves data extraction and refinement, advanced analytical techniques, technical documentation, and collaboration with Sales, Finance, Product, Clinical Policy, and Healthcare Analytics teams.

Build and deploy end-to-end data science and AI solutions, including scalable data pipelines, machine learning and generative AI workflows. Translate product and business questions into measurable analytics use cases, analyze product data, establish evaluation and monitoring practices, and collaborate with product, engineering, and analytics teams to deliver business impact.

Lead the transformation of legacy products into a unified enterprise platform. Translate strategy into roadmaps, manage backlogs, prioritize cross-functional initiatives, and coordinate Engineering, UX, AI, Data Science, Commercial, and Operations teams. Drive platform discovery, delivery, launch, adoption, and measurable business outcomes. Integrate trustworthy AI and data capabilities into customer-facing workflows while influencing senior stakeholders and balancing customer value, commercial goals, technical feasibility, risk, and resources.

Lead the direction of Data Science across Autotrader by identifying opportunities, shaping and orchestrating ML-focused projects, and driving commercial value. Collaborate with cross-functional leadership, analysts, and software engineers; establish analytical standards; mentor data professionals; and develop data products using modern ML frameworks, workflows, and cloud technologies.

Lead Ofcom’s technical strategy for AI and machine learning in online safety. Assess AI systems for safety, fairness, robustness, transparency, and accountability; shape AI governance and assurance approaches; lead research and complex technical programmes; advise senior leaders; engage external stakeholders; and build organisational capability through mentoring, knowledge sharing, and multidisciplinary leadership.

Leads the end-to-end design of data solutions, including ingestion, transformation, data modeling, and cloud data platform architecture. Defines target-state solutions using Databricks, Azure, and AWS across data warehouses, lakes, and lakehouses. Designs data product architectures, ownership frameworks, and solutions supporting AI and analytics. Collaborates with architects, engineers, platform owners, and analysts while documenting and presenting complex solutions to senior and non-technical stakeholders in regulated environments.

Lead technical design, delivery, governance, and operation of cloud-native data and analytics products on GCP. Provide DevOps and data engineering leadership, implement secure scalable architectures, CI/CD, infrastructure as code, observability, data integrations, and compliance controls. Remain hands-on in solution design, coding, reviews, and complex problem-solving while mentoring engineers, shaping technical strategy, partnering with stakeholders, and driving continuous improvement.

Lead and mentor a data science team developing machine learning systems for threat detection and agentic AI. Set ML technical strategy, standards, roadmaps, and deployment practices; guide projects from research through production; collaborate with security, engineering, and product teams; develop advanced malware and behavioral threat models; communicate insights; and contribute to research, publications, patents, and hands-on technical work.

Complete a three-year accredited graduate programme developing systems engineering skills through structured training, engineering assignments, and potential rotations or secondments. Design and develop engineering solutions for Thales products, build professional competencies and networks, and work with experienced engineers across the engineering lifecycle. The role requires a relevant STEM degree, permanent UK work rights, UK security clearance, and eligibility for a UK Eyes Only programme.

Analyze complex datasets, develop dashboards and reports, translate stakeholder requirements into data-driven solutions, and support analytical models and AI-enabled capabilities. The role involves collaborating with engineers and multidisciplinary Agile teams, ensuring data quality and documentation, presenting insights, and supporting UX/UI design within a secure Defence programme.

As a Research Engineer, you'll develop and manage data systems for text-to-speech projects and enhance machine learning models using innovative strategies.

Leads the design, development, deployment, and evaluation of machine learning, forecasting, recommendation, and analytical solutions. Partners with Product, Commercial, Engineering, and Data teams to solve business problems, define metrics, build scalable pipelines, and deliver measurable impact. Provides technical leadership and mentorship, promotes model development and governance best practices, and contributes to the data science roadmap.

Lead GitLab’s company-wide strategy for autonomous, agentic software development workflows. Identify and validate AI opportunities across the SDLC, build prototypes and reference architectures, establish evaluation frameworks and safety controls, and drive internal adoption. Partner across Engineering, Product, Infrastructure, Security, Architecture, and Data and ML teams to scale reliable, observable, compliant agentic capabilities into customer-facing products. Mentor senior technical leaders and represent GitLab externally on AI-assisted development and productivity measurement.

Design and lead architecture for agentic AI, knowledge graph, semantic, and enterprise data platforms supporting supply chain systems. Build reusable data models, ingestion pipelines, integrations, entity resolution, schema alignment, validation, and graph capabilities. Evaluate emerging technologies, define scalable architecture and governance patterns, establish quality controls and evaluators for agentic systems, and mentor technical teams while influencing product and engineering direction.

Own strategic post-sales engagement for BioCatch’s largest customers across EMEA. Serve as the primary customer contact, coordinate technology delivery projects, manage risks and escalations, lead business reviews, advocate for customer needs internally, and identify expansion opportunities with account managers. Translate technical requirements for business stakeholders, oversee project plans and milestones, support solution adoption, and coach project teams while maintaining trusted-advisor relationships.