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

Nominate & Attend

Only 24h Left: Full Stack Python Developer

Eligo Recruitment
7 months ago
Applications closed

Related Jobs

View all jobs

Lead Data Scientist (Equity Only) - 1%

Lead Data Scientist (Equity Only) - 1%

AWS Architect (Sagemaker)

Data Analyst

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Are you a Full Stack Developer who is looking for anew challenge? If the answer is yes, apply for the role today!BENEFITS: up to £70k basic salary, 10% discretionary annual bonus,25 days holiday plus bank holidays, pension, private healthcare,impressive training package, hybrid (ideally once a week, but noless than once a month) or full onsite at the office nearLeamington Spa You will be responsible in designing, developing andmaintaining an AI powered web-based EdTech application, workingwith a cross functional team. You will be a confident full stackdevelop utilising your Python and FastAPI back end skills,developing and integrating API's, and working with Azure servicesto deploy and manage the applications ensuring scalability andreliability. You will have a strong focus on UX and usability andbe able to create intuitive and visually appealing user interfacesand a strong experience with React. The company are a leadingprovider of EdTech solutions that uses AI, advanced naturallanguage processing and machine learning algorithms, they havebecome a trusted partner to the education sector and are embarkingon utilising the product within other compliance driven sectors.The team are dedicated to deliver reliable, high quality secureservices, and understand that in order to provide the best productpossible to their clients, the employees of the business are theirgreatest asset in achieving this. They look to empower their teamwith continuous learning and opportunities for career developmentinvesting heavily excellent training and personal development. Theyhave an office just outside Leamington Spa, but operate on aflexible working model giving staff the choice on whether to workhybrid or full onsite should they wish. Key Requirements -Commercial experience designing, developing and maintaining webbased applications - Full stack experience with Python and React -FastAPI - Ability to create intuitive and visually appealing UI -Strong focus on UX and usability - Good understanding of AzureServices for Deployment - Experience designing and implementingWebAPIs using RESTful Nice to have - Interest or experience with AIand Machine Learning - Experience with Microsoft Entra/ADintegration - Experience with React Native Interested? Please sendyour CV to Emma Stevens by applying to the role now.

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.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.

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

Machine learning—a subset of artificial intelligence—enables computers to learn from data and improve over time without explicit programming. From predictive maintenance in manufacturing to recommendation engines in e-commerce and diagnostic tools in healthcare, machine learning (ML) underpins many of today’s most innovative applications. In the UK, demand for ML professionals—engineers, data scientists, research scientists and ML operations specialists—is growing rapidly, with roles projected to increase by over 50% in the next five years. However, many aspiring ML practitioners cannot step away from work or personal commitments for full-time study. Thankfully, a rich ecosystem of part-time learning pathways—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn machine learning while working. This comprehensive guide examines each route: foundational CPD units, immersive bootcamps, accredited online MSc programmes, funding options, planning strategies and a real-world case study. Whether you’re a software developer branching into ML, a statistician aiming to upskill, or a professional exploring AI-driven innovation, you’ll discover how to build in-demand ML expertise on your own schedule.