Resident Solutions Architect - Databricks

London
10 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Engineer

Lead Computer Vision Physicist for Advanced Optical Systems

Machine Learning Research Engineer - Speech/Audio/Gen-AI - 6 Month Fixed Term Contract

Team Lead - Data Engineering

Databricks, Spark, PySpark, Unity Catalog, Databricks Certified Data Engineer Professional, Solutions Architecture

A leading Databricks Partner Consultancy have need of strong Resident Solution Architects with excellent Databricks knowledge and skills to work on an exciting project for a blue-chip customer.

In an initial 6 month contract, wou will be tasked with working on a new Data Platform design & build on Databricks, Cluster Optimisation etc

Key skills and experience for this role includes;

  • 7 years expeirence in Data Engineering, Data Platforms and Analytics and Consulting

  • Databricks Certified Data Engineering Professional and above

  • 6 - 8+ projects delivered with hands-on experience in ddevelopment on databricks

  • Strong knowledge of Cloud ecosystems (AWS, Azure, GCP) with deep experience in at least one

  • Deep experience with distributed computing with Spark with knowledge of Spark runtime internals

  • Familiarity with CI/CD for production deployments and ideally Databricks Asset Bundles

  • Current knowledge across the breadth of Databricks product and platform features

  • Familiarity with optimisations for performance and scalability

    This role will be an initial 6 month contract, outside of IR35, that is likely to be extended. Rates will be paid at circa £600 - £700 per day, depending on skills and experience.

    For more information on this excellent role, please respond with an up to date CV via the links provided and conntact Joe Ingleby at Primus Connect

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.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.