1 to 25 of 50 Machine Learning Jobs in Manchester

reliability, and performance Partner closely with data scientists to turn experimental models into well-engineered, production-ready systems Develop and maintain end-to-end ML pipelines, including feature engineering, training, evaluation, versioning, monitoring, and automated retraining Contribute to MLOps capabilities, including CI/CD pipelines, model registries, infrastructure automation … fairness analysis, and performance optimisation Collaborate with data engineers and architects to enhance data quality, data flows, and platform capabilities Lead experimentation using modern ML frameworks to assess new algorithms and technologies and make recommendations on adoption Support model governance processes, ensuring compliance with internal standards, documentation, transparency, and regulatory ...

model capability. THE ROLE As a Staff Machine Learning Engineer you will... Lead the design, development, and deployment of end-to-end ML solutions. Architect scalable ML systems and pipelines that integrate seamlessly with cloud infrastructure. Mentor engineers, championing best practices across coding, experimentation, and MLOps. Collaborate with … Product and Engineering teams to define priorities and model strategy. Apply deep learning, NLP or classical ML techniques to real-world, high-impact problems. Uphold responsible AI principles across model development and evaluation. YOUR SKILLS & EXPERIENCE The successful Staff Machine Learning Engineer will have: Strong Python skills ...

packages that support high quality modelling and analytical workflows. You will play a key role in enabling fast, reliable and scalable delivery of ML driven solutions across the business. The environment is collaborative, fast paced and engineering focused, with a strong emphasis on high standards, automation and continuous improvement. Role … based modelling tools and frameworks that support the full analytical lifecycle Create tools, APIs and processes that enable seamless, efficient and controlled deployment of ML and statistical models Support teams across Pricing and Analytics with standardised modelling approaches and robust engineering practices Help raise engineering maturity across the department through ...

is delivered at scale within a modern data environment. Working on a strategic Lakehouse platform built on Databricks, you will influence how production ML models are designed, governed and optimised, helping the business turn complex data into reliable, decision-driving insight. The role combines hands-on engineering with MLOps … governance, access control, monitoring and retraining strategies * Develop automated model validation tests covering unit, integration, regression and bias checks * Translate business problems into effective ML solutions, managing ethical, privacy and data governance considerations * Establish model performance KPIs, reliability measures and production monitoring frameworks * Document model design, assumptions, metrics, risks ...

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/ ...

delivering advanced language and AI solutions to clients. The Role Lead and architect large-scale machine learning projects Build and deploy scalable ML models, pipelines, and systems Mentor engineers and set technical direction across teams Drive innovation through research and adoption of new ML techniques Present technical insights … Machine Learning Engineering or similar senior roles Strong Python skills; experience with deep learning frameworks (TensorFlow, PyTorch) Solid understanding of ML algorithms, statistics, and data modelling Experience with large-scale data tools (Hadoop, Spark, Kafka) Cloud & MLOps experience (AWS, Azure, or GCP) NLP experience highly beneficial Strong ...

Machine Learning Engineer - Research Team Join the research arm of a leading gaming organisation to develop cutting-edge AI solutions that transform game quality assurance. This role focuses on automating … testing by building intelligent agents that detect anomalies and glitches in gameplay, ensuring an exceptional player experience. Key Responsibilities Design and implement ML models for anomaly detection in video streams and gameplay data. Apply computer vision and video analysis techniques to identify irregularities and bugs. Explore advanced methods such ...

Senior Machine Learning Engineer Location Manchester, United Kingdom (Hybrid working) Why Apply? This is an opportunity to shape how enterprise machine learning is delivered at scale within a modern data environment. Working on a strategic Lakehouse platform built on Databricks, you will influence how production ML models are designed, governed and optimised, helping the business turn complex data click apply for full job details ...

Title: Machine Learning Engineer - Computer Vision (Contract) Location: UK Remote/Hybrid Day Rate: 4-600 per day Why Apply? All the relevant skills, qualifications and experience that a successful applicant will need are listed in the following description. This contract offers the opportunity to take full technical … ownership of a high-impact computer vision workstream focused on real-world AI deployment. You will lead the development and improvement xxuwjjq of machine learning models that detect damage on large commercial vehicles u... ...

large-scale data processing, machine learning and next-generation search experiences. In this role, you will lead multiple engineering teams across data, ML, web, QA and DevOps disciplines to deliver a platform that processes massive datasets, powers complex distributed systems and provides high-value insights to enterprise clients. … processing, machine learning pipelines and web application development Ensure systems are scalable, reliable and capable of handling large-scale data and evolving ML workloads Introduce and measure engineering KPIs Drive improvements in delivery processes, release quality and development efficiency Collaborate with Product to prioritise work and align delivery ...

ingestion pipelines from structured and unstructured data sources Integrating predictive models into operational applications used by claims handlers and lawyers Supporting the deployment of machine-learning models into production environments Assisting with CI/CD pipelines to ensure analytics products are stable, scalable, and secure Working alongside … Some experience in software development (academic, placement, or early career) An understanding of APIs and systems integration concepts A strong interest in predictive modelling, machine learning, and analytics Good problem-solving skills and a proactive willingness to learn Desirable Exposure to analytics platforms or machine learning ...

ML ENGINEER UP TO £80,000 + BENEFITS HYBRID - CHESTER If you're an ML or AI Engineer with a strong data science foundation who enjoys turning models into reliable, production-grade systems, this could be a standout opportunity. You'll be joining a growing organisation at a key moment … customer-facing AI products. With a strong product portfolio and a collaborative, fast-paced culture, the company offers a rare chance to shape core ML capability from the ground up, supported by experienced technical leadership and clear executive backing. THE ROLE: This is the first dedicated ML/AI Engineering ...

utilization across the enterprise. Support real-time and batch data processing using big data technologies and cloud platforms. Optimize data workflows to enable AI, machine learning, and advanced analytics applications. Provide technical support and troubleshooting for GridOS Data Fabric deployments. Stay up to date with advancements in grid ...

organisation, which will provide insights into how we operate, and the collaborative environment you’ll be part of. This lays the foundation for a learning journey tailored to your goals and preferred style of development. From day one, you’ll have access to mentors and subject matter experts … encouraged every step of the way, becoming an integral part of our innovative team. We’ll provide the space and resources for continuous learning, experimentation, and improvement – with up to 30% of your time dedicated to personal development. From books, online courses, and conferences to real-world projects supported ...

solutions and present actionable insights to stakeholders. Communicate results clearly to key decision-makers to influence pricing strategies. Advance the adoption of statistical and machine-learning methods within pricing, in collaboration with Modelling, Optimisation, and Street Pricing. What we're looking for: Experience in general insurance pricing with ...

ensure the reliability and accuracy of key datasets and processes. •Collaborate with teams to define relevant metrics, thresholds, and KPIs. •Build, maintain, and productionise machine learning and statistical models using Python and PySpark. •Design and implement automation tools which can help dynamically adapt our products to external changes … quality of analytical outputs. Skills Needed: •Proficiency in Python and SQL for analysis, model development, and data interrogation. •Comfortable deploying statistical or ML models into production environments. •Strong understanding of cloud infrastructure, preferably AWS. •A methodical, problem-solving mindset with high attention to detail. •Able to scope, define, and deliver ...

About Mirantis Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. By combining open source innovation with deep expertise in Kubernetes orchestration, Mirantis empowers platform engineering teams to deliver … native or enterprise software. A working knowledge of: Cloud infrastructure, including Kubernetes, OpenStack, Docker, microservices, and public cloud services (AWS, GCP, Azure) AI/ML infrastructure tools (e.g., Kubeflow, MLflow, NVIDIA AI), and how they integrate with cloud-native platforms DevOps and automation tools, including CI/CD pipelines Observability ...

direct reports Strong analytical mindset and data-driven decision-making Understanding of API integrations and Agile methodologies Bonus: Experience building optimisation or AI/ML-powered AdTech solutions Background growing products across multiple verticals Industry thought leadership or published content Experience working with enterprise clients and complex sales cycles Previous ...

based systems. Awareness of secure coding practices and modern cybersecurity threats. Knowledge of principles used in Agile environments. Desirable exposure Any exposure of AI, ML, Cloud or Virtualisation would be considered a plus. Clearance required You will already hold an active eDV security clearance This is an incredible opportunity ...

checks across large datasets Investigate data issues and improve reliability, consistency and trust in the outputs Work closely with Product, Data Engineering, Apps and ML teams to deliver new features and improvements Keep documentation clear, current and genuinely useful This is a role for someone who cares about how data ...

Factory, Synapse, Data Lake, Functions, Logic Apps) Power BI data modelling and dashboard development expertise Practical experience using OpenAI APIs or similar AI/ML services Deep understanding of data warehousing concepts and architectures Confident communicator with strong analytical and problem-solving skills What ...

telemetry Highly desired experience includes: Experience with AI driven operational tooling (triage, runbooks, change management) with strong governance controls. Supporting large scale AI/ML workloads — SageMaker, GPU autoscaling, Kubernetes based model serving. Experience implementing policy as code (OPA) Experience implementing compliance frameworks (CIS, NIST, ISO 27001). Applying ...

lead the transition from "zero-shot" implementations to data-driven optimisation. You will instrument data collection, design online evaluation metrics, and deploy simple, effective ML models (e.g., logistic regression, boosted trees) to optimise user outcomes based on real feedback. Mentor & Lead: You will work alongside full-stack engineers, upskilling ...

SAFe practices. Excellent stakeholder management and communication skills. High attention to detail and ability to manage multiple priorities. Desirable Skills Exposure to AI/ML-enabled products or data-driven solutions. Awareness of Azure services, particularly Azure AI/OpenAI. Experience with insurance or legal processes. Familiarity with Azure ...

smart, scalable prevention and detection. Translate regulation and risk into efficient, automated, and customer-focused controls. Partner with AI and technology teams to integrate machine learning, data analytics, and automation into onboarding, monitoring, and investigations. Deliver clear, strategic insights to executive and board-level forums. Drive consistent control ...