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

Nominate & Attend

Advanced Data and Analytics Architect - Contract

Griffin Fire
London
5 months ago
Applications closed

Related Jobs

View all jobs

Managing Consultant - Transport - Data Science

Data Engineer

Data Engineer

Senior Data Science Developer

Data Science Developer

Manager, Data Engineering

Outside IR35

Initial contract: 6 weeks

OpenCredo (OC) is a UK based software development consultancy helping clients achieve more by leveraging modern technology and delivery approaches. We are a bunch of passionate technologists who thrive tackling complex challenges, delivering pragmatic and sustainable solutions for our clients. Curious, tenacious but always sensitive to our clients' context, we are not afraid to speak our minds to help steer our clients towards understanding and achieving their key goals.

A contract role for an advanced data and analytics architect has opened up within one of our consulting teams. This role will involve working across a diverse and varied set of data estates for a customer primarily in an assessment and consulting capacity. A key outcome will be to provide strategic and pragmatic insights regarding different platforms and estates which will be used to help shape future planning and direction. You will be working within one of our consulting teams composed of other OC technical architects and senior technologists. This role will suit someone with broad experience within data and the surrounding ecosystem. As this role requires extensive engagement with C-level executives, exceptional communication skills and strong business acumen are essential. You will be expected to bring expert advice, guidance, best practice and recommendations in specific core technologies such as Databricks, Vertex.AI as well as a range of AI techniques (Gen AI, feature engineering of AI/ML models, MLOps).

Responsibilities:

  • Strong (proven) experience in Databricks and GCP, in particular the Vertex AI platform, knowing best practice and able to recommend strategies for effective adoption.
  • Experience with MLOps, preparing training data sets, training process, model selection and deployment.
  • Experience in optimising data platforms to help accelerate and achieve strategic business goals while balancing and managing costs.

Required Skills:

With a solid and deep understanding of:

  • Data platform architecture and different use cases and topologies.
  • Standard technologies which can be used for target use cases (ingestion, orchestration, compute, etc.).
  • Ability to help define high-level standardised processes for all parts of the data lifecycle (from acquisition and storage all the way through to reporting and compute/analytics).
  • An understanding of the modern data and analytics toolchains, from Python notebooks and data ingestion/ETL/ELT tooling along with standard/enterprise reporting tools and platforms (for example - but not restricted to - Looker Studio, Power BI, Alteryx, Tableau).

You will:

  • Work with some of the most exciting new technologies.
  • Engage at a senior level across a group of insurance companies.
  • Work with driven consultants who are keen to learn and also deliver the best outcomes for the customer.
  • Spark off co-workers who’ll challenge your thinking and help you to achieve your potential.
  • Deal openly and honestly with customers.
  • Collaborate alongside senior leaders who understand and value passionate technologists.

#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.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

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.