National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

(Only 24h Left) Machine Learning Engineer ...

Bright Purple
Reading
1 month ago
Applications closed

Related Jobs

View all jobs

Entry-Level Artificial Intelligence Automation Analyst

Platform Software Engineer

Artificial Intelligence Engineer - Agentic bioimage data platform

Machine Learning Researcher

Cloud Engineer & 3rd Line Support

SoC Architect

Machine Learning Engineer Remote with Travel Are youan experienced Machine Learning Engineer looking to work oncutting-edge cloud projects for prestigious clients? Thisorganization has experienced continual strong growth since itsfounding. This exciting role involves designing, building, anddelivering complex new solutions within a new function focused onAI and ML. Benefits Along with a highly competitive salary, you'llenjoy a comprehensive benefits package and work for anemployee-centric organization that values the well-being of itsemployees, both personally and professionally. - Generous holidayallowance - Flexible working options - Excellent Healthcare andPension Scheme - Opportunities for career development andprogression with support - Performance Bonus About the role As amid-to-senior level Machine Learning Engineer, you will create MLmodels for deployment in the cloud and support Data Engineering,DataOps, and DevOps teams. You will work with the latest technologyon highly visible, large-scale projects. What you’ll bring to therole - Strong grounding in ML approaches, techniques, andframeworks - Proficiency in Python, Pandas, TensorFlow,Scikit-learn, Numpy, SciPy - Experience deploying models to thecloud and working with Azure (Azure DevOps, Azure ML, Azure SQL,ADF, etc.) - Ability to work with databases such as SQL Server,NoSQL, etc. - Experience with ETL processes, data pipelines, andDevOps practices This role is hybrid, requiring occasional presencein one of their UK offices in Scotland or England to maintaincompany culture through social meetups. You will also traveloccasionally to visit clients. Please apply today for immediateconsideration. Bright Purple is an equal opportunities employer: weare proud to work with clients who share our values of diversityand inclusion in our industry. #J-18808-Ljbffr

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

LinkedIn Profile Checklist for AI Jobs: 10 Tweaks That Triple Recruiter Views

In today’s fiercely competitive AI job market, simply having a LinkedIn profile isn’t enough. Recruiters and hiring managers routinely scout for top talent in machine learning, data science, natural language processing, computer vision and beyond—sometimes before roles are even posted. With hundreds of applicants vying for each role, you need a profile that’s optimised for search, speaks directly to AI-specific skills, and showcases measurable impact. By following this step-by-step LinkedIn for AI jobs checklist, you’ll make ten strategic tweaks that can triple recruiter views and position you as a leading AI professional. Whether you’re a fresh graduate aiming for your first AI position or a seasoned expert targeting a senior role, these actionable changes will ensure your profile stands out in feeds, search results and recruiter queues. Let’s dive in.

Part-Time Study Routes That Lead to AI Jobs: Evening Courses, Bootcamps & Online Masters

Artificial intelligence (AI) is reshaping industries at an unprecedented pace. From automating mundane tasks in finance to driving innovation in healthcare diagnostics, the demand for AI-skilled professionals is skyrocketing. In the United Kingdom alone, AI is forecast to deliver over £400 billion to the economy by 2030 and generate millions of new jobs across sectors. Yet, for many ambitious professionals, taking time away from work to upskill can feel like an impossible ask. Thankfully, part-time learning options have proliferated: evening courses, intensive bootcamps and flexible online master’s programmes empower you to learn AI while working. This comprehensive guide explores every route—from short tasters to deep-dive MScs—showcasing providers, course formats, funding options and practical tips. Whether you’re a career changer, a busy manager or a self-taught developer keen to go further, you’ll discover a pathway to fit your schedule, budget and goals.