26 to 50 of 101 Machine Learning Jobs in Bolton

AI Tech Lead – Agentic AI, LangGraph, ML, Python, CI/CD, LLM’s, Startup, UK Remote About the Role A mission-driven, early-stage startup is looking for an AI Tech Lead to join its growing team. This is a hands-on leadership role where you’ll help shape a … on employee wellbeing in high-stress industries—and the mission is just getting started. You’ll lead a cross-functional team of backend and machine learning engineers, guiding architecture, mentoring team members, and staying close to the code. This is a rare opportunity to build both product and … in a fast-moving environment with purpose at its core. What You’ll Do Lead and mentor a senior engineering team working across backend, ML, and infrastructure. Play key role in design, development, and deployment AI applications using LLM's, Agentic framework, and other related technologies Own technical direction for More ❯

Workplace psychology explores the behavioural, emotional, and cognitive factors that influence performance, collaboration, and well-being in professional settings—key considerations for designing impactful learning experiences. Meanwhile, trends in the new work-ready generation highlight the evolving skills, values, and expectations of younger learners entering the workforce, such as … organisational culture (e.g., collaboration vs. competition). Explore how these factors can be taught or reinforced through online education, such as via scenario-based learning or reflective exercises. New Work-Ready Generation Trends : Analyse the skills profile of Generation Z and beyond, including technical competencies (e.g., coding, data analysis … and soft skills (e.g., adaptability, critical thinking). Examine their educational preferences, such as demand for short-form content (micro-credentials), gamified learning, or peer-to-peer collaboration. Assess their workplace expectations, including remote work readiness, diversity and inclusion priorities, and career mobility aspirations. 3.2 Develop Evidence-Based Curriculum More ❯

Jenkins, GitLab CI/CD, CircleCI). Preferred Qualifications Master’s degree in Computer Science, Software Engineering, or related field. Experience with Python-based machine learning libraries is a plus. Experience with data pipelines and Big Data frameworks. Familiarity with Agile methodologies, especially Scrum or Kanban. Why Work More ❯

robust data platforms across multiple cloud providers. Implementation of secure data processing environments for classified information, create automated deployment pipelines for data applications and ML models, and design comprehensive multi-cloud solutions with robust monitoring systems. Leading technical transformation initiatives, working closely with data engineering teams to support their infrastructure More ❯

What Will Give You A Competitive Edge (Preferred Qualifications): Masters degree in a technical discipline Exposure to aerodynamics engineering Advanced knowledge of Artificial Intelligence & Machine Learning Development experience with VR frameworks such as Unity, Unreal Engine Experience with data streaming technologies such as Akka/Pekko, MQTT, Pulsar More ❯

in cross functional teams and explain complex technical concepts to non-technical stakeholders. Nice to Have: Experience with OCI cloud-based services Experience with machine learning or AI in security applications. Experience in Agile methodologies and using project management tools like JIRA and confluence. Knowledge of Software Assurance More ❯

in cross functional teams and explain complex technical concepts to non-technical stakeholders. Nice to Have: Experience with OCI cloud-based services Experience with machine learning or AI in security applications. Experience in Agile methodologies and using project management tools like JIRA and confluence. Knowledge of Software Assurance More ❯

to integrate seamlessly into enterprise applications, particularly within the financial sector. A company of 10, the Co-Founders have PhDs in the AI/ML field & are looking for their 3rd and 4th Backend Engineers to keep up with client demand for Product Development What You’ll Do Design, develop More ❯

for delivering the next generation of their SaaS platform. As the VP of Engineering, you’ll oversee architectural decisions, product scalability, and AI/ML integration while working cross-functionally with product, design, and go-to-market teams. Ideal for a tech leader who thrives in a fast-paced, mission … to conducting interviews. Foster a culture of accountability, innovation, and operational excellence. Technology & Delivery Oversight: Shape the technical roadmap, ensuring scalability and AI/ML integration. Provide hands-on guidance in sprint planning, backlog refinement, and daily standups. Oversee architecture, code quality, performance, and security standards. Promote engineering best practices … including automated testing, documentation, and agile adherence. AI & Machine Learning Integration: Champion the integration of AI/ML into core products and workflows. Collaborate with product leaders to deliver robust, ethical AI-driven features. Drive innovation in AI-powered customer-facing solutions and internal tools. The ideal candidate More ❯

backend services and infrastructure, working closely with cloud technologies and infrastructure-as-code tools. While the team works on a number of AI/ML projects, this is not a machine learning role - though an interest or past experience in the space is definitely a bonus! They're … Behave/Robot/Selenium) Familiarity with modern DevOps practices (CI/CD pipelines, Docker, etc) Nice to have but not essential: Exposure to ML frameworks like TensorFlow or PyTorch (not essential) Experience in e-commerce or retail tech environments This is a hybrid role 2 days a week in More ❯

tasks across internal systems. Monitor the performance of deployed models, ensuring they align with business goals and deliver clear ROI. Document workflows and share learning across teams to support wider AI adoption. Stay current with developments in AI, automation, and machine learning tools and techniques. What We … in a hybrid or remote environment. Experience working in agile environments and iterating based on user feedback. Preferred Skills: Background in deploying AI/ML models to production (MLOps). Experience using cloud platforms such as Azure. Interest or experience in building autonomous agents or internal AI assistants. Why Join … package. Work on cutting-edge AI projects that have immediate business impact. A collaborative, forward-thinking, and experimentation-friendly work environment. Opportunities for continuous learning and career development. Location: Remote with very occasional travel (UK-based) Salary: Up to £90,000 + typical benefits If you’re an experienced More ❯

tools or automation scripts Familiarity with AWS and its tools Excellent communication skills and a collaborative mindset Nice to have: Experience with AI/ML infrastructure or supporting data science workflows Exposure to MLOps tooling or machine learning model deployment More ❯

essential). Strong grasp of linear regression, statistical modeling, and data processing best practices. Proficient in SQL (MySQL preferred). Experience with web scraping, machine learning techniques, and dashboarding tools is a bonus. Familiarity with Docker, time series forecasting, or LLM technologies is advantageous. A background or exposure More ❯

leader in industrial data integrity solutions. We help customers drive profitability and sustainability goals while mitigating risk in their industrial operations. Powered by AI machine learning, APERIO automatically validates operational data at scale to improve data accuracy, security, and value, allowing for better, smarter business decisions based on More ❯

environment (B2B a plus) Solid understanding of cloud infrastructure (AWS, GCP), CI/CD workflows, and agile development Interest or experience in AI/ML technologies is a plus Excellent communication skills and a team-first mentality What’s On Offer 💰 Competitive salary - €111,000 + Bonus 🔧 Greenfield projects, modern More ❯

company who are seeking a Full Stack Data Scientist to join their Forecasting Algorithms team. The company's aim is to use cutting edge Machine Learning techniques to influence decision making in the hospitality and transportation spacce. You’ll be at the forefront of developing forecasting models, and … and testing to deployment and monitoring. Key Responsibilities Lead efforts to improve the performance and scalability of deployed forecasting models. Design and build internal ML and forecasting libraries. Contribute to product planning by translating business objectives into measurable results. Champion best practices in model development, validation, and inference pipelines. Stay … current with state-of-the-art techniques in AI and ML and apply them effectively. Work closely with technical and non technical stakeholders. What You’ll Bring PhD is highly preferred! Strong experience building and implementing forecasting models using modern ML techniques. Deep understanding of time series analysis, statistics, and More ❯

or Technical Consultant. Fluency in English and German, both written and spoken. Strong knowledge of digital banking and financial services. Working knowledge of AI, machine learning, and predictive analytics. Conversational understanding of architecture, analytics, Linux, Java, and SQL. Experience in managing RFIs, RFPs, and proof of concepts. Ability … Experience contributing to or leading strategic deals, including stakeholder engagement. Familiarity with MEDDICC or similar sales qualification frameworks. Committed to sharing best practices and learning from global presales peers. Act as the “voice of the customer” by relaying valuable feedback to product teams. Proven experience in leading successful projects. More ❯

capital and training to underserved micro and small businesses. With millions of loans already disbursed and an impressive repayment rate, they combine mobile money, machine learning, and a hybrid service model to create long-term, sustainable impact. They are now seeking a Head of Backend Engineering to lead More ❯

code reviews, source control management, continuous deployments, testing, and operational excellence. Very strong knowledge of Python. Strong English proficiency. Desirable Qualifications Knowledge of any machine learning framework (e.g. Torch, huggingface, ...) and/or data analysis platform (e.g. Pandas). Past experience with open source projects. Past experience More ❯

use of WTW Radar and Emblem and you will have responsibility for the development and maintenance of predictive models (GLM) and price optimisation including machine learning algorithms (GBM), LTV (Lifetime Value) and fair pricing principles. Ultimately creating value for our customers and Atlanta. Bringing best in class pricing More ❯

benefits Astrum Search is delighted to be supporting a forward thinking research and technology (FinTech) company that specialises in financial research, IT infrastructure, and machine learning. As part of the commercially focussed Controls Assurance team you will be a problem solver, conducting reviews of critical business processes as well More ❯

CD, and agile product development Track record of scaling teams, improving delivery processes, and aligning engineering with company goals Bonus: Experience with AI/ML products or embedded intelligence in enterprise software Excellent communication, people management, and stakeholder engagement skills What’s On Offer 💰 Competitive salary: £111,000 + Bonus More ❯

Principal ADMET Scientist - modelling, ML engineer | Cheminformatics | Series A - Drug discovery B2B Platform | Fully Remote, EU | £ 700-1,200 per day, Outside IR35 | 6-12 months Contract Length The Client: A mission-driven technology company operating in the life sciences domain is seeking a Principal Scientist - hands-on ADMET modelling … ML engineer to lead the technical direction for ADMET (Absorption, Distribution, Metabolism, Excretion, and Toxicity) modeling efforts within its drug discovery platform. The organisation enables collaborative model development across partner organisations while maintaining strict data privacy and ownership, using a federated data infrastructure. In this hands-on, high-impact role … machine learning, computational chemistry, and applied research to advance foundational model applications in drug discovery. You'll be the technical authority on ML architecture, experimentation, and strategy, collaborating closely with leadership and mentoring other engineers and researchers. While this is not a people management position, it offers significant More ❯

teams to deliver data-driven solutions that support business objectives. Work with both structured and unstructured data to assist with business intelligence, analytics, and machine learning initiatives. Ensure data security, governance, and compliance within the cloud environment. Troubleshoot and optimise existing cloud-based data infrastructure to improve efficiency More ❯

Work cross-functionally to deliver data projects end-to-end What you’ll bring: Strong experience with Python or R Proven track record with machine learning and predictive analytics Confidence turning data into decisions – and explaining it simply Commercial mindset and a drive to make data count Bonus More ❯