1 to 25 of 30 Remote/Hybrid Machine Learning Jobs in Manchester

same! Key Responsibilities: Build, maintain, and productionise machine learning models using PyTorch or similar frameworks. Design and optimise data pipelines for ML inference at scale. Work with large datasets using Big Data tools. Deploy ML workflows using AWS infrastructure . Collaborate with data engineers and product teams … integrate ML solutions into RealityMine’s products. Investigate and troubleshoot customer feedback on data quality and drive model improvements from experimentation . Promote best practices in ML engineering and data quality across the business. Adhere to Company Policies and Procedures with respect to Security, Quality and Health & Safety. AI first ...

Title: AI/ML Engineer – Data Science Location: United Kingdom (Remote/Hybrid) Eligibility: Permanent UK Citizenship required Experience: 5–7 years (Mandatory in Data Science/AI-ML) Role Overview We are seeking a skilled AI/ML Engineer – Data Science to design, develop, and deploy scalable machine … Responsibilities - Design, build, and optimize machine learning and deep learning models for real-world applications. - Develop and deploy AI/ML solutions using modern Python-based frameworks. - Implement NLP models and solutions for structured and unstructured data. - Build and maintain production-ready ML pipelines, ensuring scalability ...

Automating Machine Learning workflows (training → deployment) with AWS & GitOps Deploying LLMs using Kubernetes & Docker Building infrastructure with Terraform & Helm Monitoring and maintaining ML models with performance alerts and dashboards Supporting CI/CD for ML pipelines Developing production-grade APIs (REST/gRPC) to serve models Collaborating with … DevOps or MLOps roles (ideally in AWS environments) Hands-on with Docker, Kubernetes, and Terraform Strong scripting skills in Python or Bash Familiar with ML lifecycle tools, model monitoring, and versioning Exposure to tools like KServe, Ray Serve, Triton, or vLLM a big plus Bonus Points: Experience with observability frameworks ...

will be working on Designing and building Python applications that sit at the heart of AI solutions Supporting the development and deployment of machine learning systems Turning complex challenges into clean, scalable software Working closely with experienced engineers, data scientists, and consultants Testing, refining, and improving systems … they move into production Learning how high impact AI solutions are delivered to real clients What we are looking for A degree in Computer Science, Software Engineering, AI, Data Science, or a closely related subject A strong academic background from a top university, with Russell Group preferred Confidence writing ...

delivery of cutting-edge Machine Learning and AI-powered products. This role is ideal for someone who combines strong technical credibility in ML/AI environments with proven leadership and people management skills. You'll oversee delivery pipelines, mentor engineers, and ensure AI-driven products are delivered … standard - on time and aligned to business impact. Key Responsibilities Lead, mentor, and develop a team of engineers working across software and AI/ML initiatives Drive delivery across multiple concurrent projects, ensuring alignment with business and product goals Oversee technical direction, architecture, and best practices across Machine Learning ...

join their expanding data function. This is an excellent opportunity for an early-career data professional to gain hands-on experience across the full machine learning lifecycle in a regulated, real-world environment. You’ll work closely with Senior Data Scientists, Data Engineers, and Analysts to develop, test … Early career stage (graduate, placement, bootcamp, or personal projects) Strong Python skills (pandas, scikit-learn) Solid SQL skills (joins, aggregations, relational data) Understanding of ML fundamentals (train/test splits, overfitting, evaluation metrics) Clear communication skills Strong learning mindset and interest in AWS/cloud technologies Comfortable working ...

internet actually works Experience with Splunk & SPL SQL or similar data manipulation skills Exposure to network security products HTML, CSS, JavaScript Data Science or Machine Learning experience Location & Flexibility Edinburgh-based engineers: hybrid working (typically 2 days in office) Fully remote options available for the right candidate Cutting ...

agile delivery model, enabling their teams to be involved in different projects and audit analytics delivery including data migration, governance, data analytics, advanced (AI-ML) analytics, platform development and robotic process automation (RPA) services. Job purpose As an Assistant Data Manager, you will be supporting in developing audit analytics tools ...

Azure Data Factory. • Drive DevOps best practices including CI/CD, automated testing and infrastructure as code. • Collaborate closely with data engineers, ML engineers and wider technical teams to deliver robust platform capabilities. • Take ownership of key data platform projects and influence engineering direction. • Provide technical leadership and ensure standards ...

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 ...

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 ...

Role As Lead Data Scientist, you will: Lead and develop a growing Data Science team, setting standards and delivery cadence Own end-to-end ML solutions -from problem framing and feature engineering to deployment, monitoring, and governance Translate business objectives into modelling strategies aligned to risk appetite and operational constraints … regulated environment This role requires someone who thinks beyond experimentation - focusing on operational impact, adoption, and long-term model performance. Essential Experience Proven commercial ML/Data Science delivery with measurable impact Experience taking models into production and managing performance over time Prior experience leading or mentoring Data Scientists Strong ...

Node.js, JavaScript/TypeScript Express.js, Fastify MongoDB AWS Vue.js, Nuxt.js Nice to Have AI Experience Not essential, but a big bonus: Integrating AI/ML models Working with LLM APIs (OpenAI, Anthropic, etc.) Prompt engineering AI workflow tools (LangChain, Flowise) Building internal AI automation tools Benefits This company genuinely invests ...

requirements into robust production solutions Influence how MLOps drives pricing performance and business outcomes Experience Required: Strong Python engineering capability Experience working with production ML, pricing or data driven systems Confidence working with Git and structured release processes Logical and structured problem solving ability Clear communication across technical ...

with: Node.js, JavaScript/TypeScript Express.js, Fastify MongoDB AWS Vue.js, Nuxt.js Nice to Have AI Experience Not essential, but highly desirable: Integrating AI/ML models into production systems Working with LLM APIs (OpenAI, Anthropic, etc.) Prompt engineering AI workflow tools (LangChain, Flowise) Building internal AI-powered automation tools ...

with: Node.js, JavaScript/TypeScript Express.js, Fastify MongoDB AWS Vue.js, Nuxt.js Nice to Have – AI Experience Not essential, but highly desirable: Integrating AI/ML models into production systems Working with LLM APIs (OpenAI, Anthropic, etc.) Prompt engineering AI workflow tools (LangChain, Flowise) Building internal AI-powered automation tools ...

Excellent knowledge of ERP software processes (preferably SAP S4 HANA and 3PL integration technologies) and a strong understanding of complementary technologies (BTP, AI/ML, Process Mining) and their application to enterprise processes. Strong analytical and problem-solving skills with a data-driven decision-making approach. Proven experience of successfully ...

with some of the most technically advanced AI companies, focused on the DACH region. There is the opportunity to specialise in software, data engineering, machine learning or product. This role is suited to an experienced consultant who operates with autonomy, values depth in their market, and wants … recruitment experience in-agency, ideally within software, AI, or a related technical market. We have opportunities to specialise in software, product, data engineering or machine learning. Beyond experience, we’re interested in how you approach your market and your work. The people who do well here are genuinely invested ...

network. Company: Well established cyber vendor with a strong portfolio due to some strategic acquisitions: vulnerability management, app security and threat intelligence. (cloud, AI &ML) Multi award winning vendor and recognised in industry reports for their innovation. Global team of over 400 employees - strong foundations from pre-sales & marketing support. ...

prioritise and allocate work. Delivering both strategic and tactical technology solutions. Applying modern DevOps and exploring emerging technologies such as artificial intelligence and machine learning. This is a great opportunity and salary is dependent upon experience. Apply now for more details. ...

people to buy, sell and remortgage their home. They provide our clients with a stress-free online experience, underpinned by our process automation and machine learning platform, and delivered through our wholly owned English law firm. Their revenue has tripled year-on-year, and they’ve carved ...

optimisation, and observability Architect and implement multi-cloud, data lake, and data warehouse platforms Design scalable data pipelines, integration workflows, and analytics solutions Apply ML/AI frameworks, semantic models, and BI/visualisation tools to solve client challenges Operate as a strategic and technical leader across client engagements, guiding … Azure, GCP) and data technologies such as Snowflake, Databricks, or equivalent Experience with programming/scripting, data integration, ETL pipelines, and orchestration Knowledge of ML/AI frameworks, BI/analytics platforms, and semantic data modelling Strong client-facing skills with the ability to translate business needs into technical solutions ...

based health and wellbeing organisation is hiring a Data Scientist to build and deploy production ML and GenAI systems. The role is hands-on and end to end, covering data preparation, model development, and deployment across traditional ML and LLM-based use cases. You will work on real production problems … through to live deployment. You will collaborate closely with other data scientists, data engineers, and DevOps, with the freedom to shape how GenAI and ML are used across the platform. Tech stack: Python PyTorch or TensorFlow scikit-learn Spark Kafka Databricks LangChain and RAG-based GenAI systems Cloud-native Azure ...

leadership across AI architecture, model design and deployment. Oversee project delivery, ensuring alignment to KPIs and strategic outcomes. Mentor and line-manage AI/ML and Automation professionals. Work closely with stakeholders to uncover opportunities and translate needs into solutions. Ensure governance, security, ethics and compliance are embedded in every … Automation Lead, you will have: At least 2 years' experience leading AI, Automation or data science teams. Strong understanding of AI/ML concepts, architecture and real-world applications. Proven record of delivering AI solutions end-to-end. Solid knowledge of data governance, security and compliance. Ability to translate business ...

.NET Developer, .NET 10.0, C# 14 - Global Internet Icon - Manchester (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, .NET MAUI, ML.NET, Azure AI, GitHub Copilot, Docker, Kubernetes, .NET Aspire, CI/CD, HTML ...