126 to 150 of 330 Machine Learning Jobs in the North West

Forwardrole is seeking specialists in ML and MLOps with machine learning as the core capability, spanning research, prototyping, productionisation and deployment in National Security environments in the UK. Location options include Manchester or Cheltenham with hybrid working and Secure Site requirements. You'll work with teams that care … about the discipline, keep near to research, and drive production-ready ML systems, aiming for reliable deployment and strong engineering practices. #J-18808-Ljbffr ...

useful: Azure Functions, App Services or Logic Apps DevOps and CI/CD pipelines REST APIs and integrations Azure AI, OpenAI or Copilot technologies Machine learning IoT platforms or data-driven applications What you'll bring We're looking for someone who: Is genuinely interested in technology … continuous learning Takes ownership of their work Enjoys solving problems and finding better ways of doing things Works well with both technical and non-technical colleagues Takes pride in producing quality software Has good attention to detail Is curious about new technologies, particularly AI Brings a positive, collaborative approach ...

environment, with evidence of excellent organisational, documentation and project management skills. Strong Python and MS Excel capabilities. Knowledge of JavaScript, R, SQL, VBA, git, machine learning or optimisation algorithms preferred but not essential. Experience developing technical solutions with AI harnesses such as Claude Code, Cursor or Codex. Ability ...

clear data definitions. Enable secure, self-service data analysis using modern AI tooling. Automate manual, repetitive or fragile data processes. Support BI, Data Science, Machine Learning and Applied AI teams. Take ownership of data governance, security, monitoring and platform costs. Line-manage, develop and help grow the Data ...

clear data definitions. Enable secure, self-service data analysis through modern AI tools. Automate manual, repetitive and fragile data processes. Support BI, Data Science, Machine Learning and Applied AI teams through a unified platform. Own data governance, platform security, monitoring and operating costs. Manage, develop and help grow ...

need? Significant commercial software engineering experience (typically 5+ years) with strong expertise in TypeScript and working knowledge of Python. Proven experience delivering AI, machine learning or data-driven features into production, such as recommendation engines, search, ranking systems or LLM-powered applications. Hands‐on experience building and operating ...

experience, preferably AWS, and familiarity with CI/CD and source control best practice. Desirable : More Data Science leaning background or want to explore ML/AI & data/predictive modelling strategies. Why you'll love this job A highly visible, hands-on role with real influence over data architecture ...

building backends and data environments completely from scratch) Previous experience with Azure (Container Apps, endpoints, and cloud deployment) Prior exposure to NLP, LLMs, and ML tools Experience in professional services domains In Return Fletchers Offers Bonus scheme (subject to targets being met) 35 days holiday a year including bank holidays ...

techniques. Monitoring and metrics infrastructure (OTEL, Prometheus, Grafana). Cloud (AWS/GCP/Azure/Private DC). Bonus: Experience with AI/ML, Natural Language Technologies you’ll work with: Programming languages: GoLang, Java11, Kotlin, Rust, Python Storage & Persistence: S3, NFS Container and Orchestration: Kubernetes/Containers (Docker ...

Django, Flask, PyTorch, JavaScript (React, Node.js), and Go, with hands-on experience in full-stack development. Proficiency in deploying and managing AI/ML models as services or APIs, along with a deep understanding of machine learning models, including their training, inference, and deployment processes on Runpod platforms. … collaborative teams utilizing slack as the main form of internal communication Join a passionate team on the cutting edge of AI infrastructure — where culture, learning, and ownership are at the heart of how we scale. $1,200 USD Home Office & Equipment Stipend- We set you up for success from ...

Django, Flask, PyTorch, JavaScript (React, Node.js), and Go, with hands-on experience in full-stack development. Proficiency in deploying and managing AI/ML models as services or APIs, along with a deep understanding of machine learning models, including their training, inference, and deployment processes on Runpod platforms. … collaborative teams utilizing slack as the main form of internal communication Join a passionate team on the cutting edge of AI infrastructure where culture, learning, and ownership are at the heart of how we scale. 1,200 USD Home Office & Equipment Stipend- We set you up for success from ...

shape product strategy, define priorities, and translate customer and business needs into effective technical solutions Experience working with AWS technologies and a range of machine learning tools and frameworks An interest in reverse‐engineering codebases, where necessary, to understand the inner workings of legacy products Experience interviewing … snacks, and drinks provided in the office Comprehensive health, safety, and wellness service available 24/7 for you and your family Two paid Learning & Development days per year plus access to learning resources such as Udemy and Coursera to support your career Two Volunteering Days per year ...

into real, scalable product features. Responsibilities Design and implement AI-powered features within the platform (e.g., automation, recommendations, copilots) Integrate LLMs and/or ML models into existing services and workflows Evaluate, select, and optimize AI tools, APIs, and frameworks for production use Collaborate with Product to translate business problems … Strong backend engineering experience (RoR and/or Golang preferred) Experience integrating APIs and working within distributed systems Hands-on experience with AI/ML tools (e.g., OpenAI, Anthropic, Hugging Face, or similar) Experience building or integrating AI-powered features into applications (not just experimentation) Strong understanding of data flow ...

into real, scalable product features. Responsibilities Design and implement AI-powered features within the platform (e.g., automation, recommendations, copilots) Integrate LLMs and/or ML models into existing services and workflows Evaluate, select, and optimize AI tools, APIs, and frameworks for production use Collaborate with Product to translate business problems … Strong backend engineering experience (RoR and/or Golang preferred) Experience integrating APIs and working within distributed systems Hands-on experience with AI/ML tools (e.g., OpenAI, Anthropic, Hugging Face, or similar) Experience building or integrating AI-powered features into applications (not just experimentation) Strong understanding of data flow ...

data platforms within public sector, defence or other regulated environments Experience working within secure environments and understanding associated security and assurance requirements Exposure to machine learning or AI workloads and the data platforms that support them Why people choose to grow their careers at UBDS Group Professionals choose … Group, employees are given unique opportunities to work on cutting‐edge projects across a diverse range of industries, exposing them to new challenges and learning opportunities that are pivotal for professional growth. The Group’s culture emphasises continuous improvement, offering ample training programs, mentorship, and the chance to gain ...

hands‐on role where you’ll spend most of your time designing, building and maintaining data solutions, with plenty of opportunity for learning and professional development. The Role As a Data Engineer, you’ll help build and operate reliable, scalable data infrastructure and pipelines across an AWS cloud environment. … Apply Infrastructure as Code (IaC) to support data pipelines and processing workflows on AWS. Design and maintain systems for data version control and reproducible machine learning workflows (MLOps). Work closely with data scientists, analysts and engineers to translate analytical and operational requirements into effective data solutions. Contribute ...

This is a hands-on role where youll spend most of your time designing, building and maintaining data solutions, with plenty of opportunity for learning and professional development. The Role As a Data Engineer, youll help build and operate reliable, scalable data infrastructure and pipelines across an AWS cloud … Apply Infrastructure as Code (IaC) to support data pipelines and processing workflows on AWS. Design and maintain systems for data version control and reproducible machine learning workflows (MLOps) . Work closely with data scientists, analysts and engineers to translate analytical and operational requirements into effective data solutions. Contribute ...

relationships across teams and business functions. Proactive and solutions-focused, with the ability to work independently and manage competing priorities effectively. Committed to continuous learning and keeping up to date with emerging data, analytics and AI technologies. Driven by high standards and motivated to deliver secure, reliable and scalable … dimensional modelling. Experience building secure, scalable and high-performing data platforms that support reporting, analytics and business intelligence requirements. Desirable experience supporting AI, machine learning or advanced analytics initiatives. Knowledge of data governance, data quality, security principles and regulatory compliance requirements. Experience working with Power BI semantic models ...

click here for more information on flexible working options Flexible Working Options Hybrid Working, Job Share Job Description Summary . Job Description JOB TITLE: ML/AI Engineer SALARY: £72,702 - £80,000 per annum LOCATION: Manchester HOURS: Full-time – 35 hours WORKING PATTERN: Our work style is hybrid, which … least two days per week, or 40% of our time, at our Manchester office. About this opportunity... Exciting opportunity for a hands‐on ML/AI Engineer to join our Data & AI Engineering team. You’ll build, automate, and maintain scalable systems that support the full machine learning ...

digital solutions across energy, utilities, or infrastructure projects. Working with software developers, data analysts, and digital delivery teams. Emerging technologies including digital twins, IoT, machine learning, and cloud-based platforms. Significant experience in consultancy and/or engineering related to energy, utilities, infrastructure, or similar sectors, with … people for who they are, and we champion the richness of different perspectives, lived experiences and backgrounds in the workplace, as a source of learning and innovation. We are committed to building vibrant communities within Jacobs, including through our Jacobs Employee Networks, Communities of Practice, and our Find Your ...

maintainability. Helping shape data strategy, engineering standards and best practices around governance and data democratisation. Supporting the adoption of advanced analytics, AI and machine learning capabilities. Developing Infrastructure as Code alongside Cloud Engineering. Ensuring solutions meet data privacy, security and compliance requirements. Working collaboratively within an Agile environment ...

require all candidates to be willing to attain an eDV clearance. In this area of the business we prove DevSecOps at scale, Artificial Intelligence, Machine Learning, cyber and geospatial intelligence capabilities to support the defence, intelligence and cyber sectors. Collaborating with customers and suppliers to deliver secure, mission ...

engineering experience, including experience leading technical teams or engineering functions. Strong expertise in TypeScript and Python, with a proven track record of delivering AI, machine learning or data‐driven solutions into production, including recommendation engines, intelligent search, ranking systems or LLM‐powered applications. Extensive experience building and operating ...

software solutions capable of handling sensitive data (e.g., Personally Identifiable Information or payment information). Experience implementing software solutions that operationalise data science and Machine Learning components Personal Qualities A hands-on problem-solver who leads by example, demonstrating commitment to software quality. A clear communicator, calm ...

adapt to emerging technologies. Strong teamwork skills and sound judgment on when to seek help or collaborate. Nice to Have Experience with AI/ML or enterprise software (especially B2B SaaS) that complements Factory s mission. Prior work at startups or in high growth environments where you built processes ...