Data Engineer

ADROIT PEOPLE LTD
Bournemouth
2 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Job Title

Data Engineer


Company

ADROIT PEOPLE LTD


Location & Work Mode

Bournemouth, UK – Onsite (5 days/week)


Duration

Full‑time/Full Enterprise (FTE) or Full‑time Contract (FTC)


Keywords

AI/ML, Gen AI, Data Engineer, Python


Responsibilities

  • Develop and implement AI/ML solutions for test automation in the securities processing space, including test generation, test prioritization, defect triage/reporting, code coverage, framework migration/setup.
  • Build AI/ML solutions focused on software testing with Generative AI and Retrieval Augmented Generation.
  • Train, fine‑tune, and deploy large language models (GPT, Claude) and other AI/ML models.
  • Collaborate with cross‑functional teams to integrate AI/ML models into continuous delivery pipelines.
  • Ensure adherence to lifecycle principles and quality assurance processes and methodologies.
  • Contribute to test automation frameworks and participate in agile ceremonies (sprint planning, backlog refinement, retrospectives).

Qualifications & Skills

  • Bachelor’s degree in Computer Science or related field, or equivalent experience.
  • Proficiency in Python, including libraries such as NLTK, NumPy, Scikit‑learn, Pandas, and experience with AI/ML algorithms (regression, classification, decision trees, KNN, K‑Means).
  • Experience with large language models (GPT, Claude) and Generative AI or Agentic AI solutions.
  • Hands‑on experience with GitHub Copilot, Docker, Kubernetes for deployment.
  • Experience building front‑end (React) for AI/ML solutions (plus).
  • Excellent verbal and written communication skills.
  • Good grasp of SQL and automated testing frameworks.
  • Agile environment experience, sprint participation.

Benefits

No benefits listed in the original posting.


#J-18808-Ljbffr

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.

Products

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Jobs

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.