Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Analyst Manager

Skill Farm
London
1 year ago
Applications closed

Related Jobs

View all jobs

Portfolio Data Analyst

Portfolio Data Analyst

Cost Data Analyst - Senior Cost Manager

Project Manager - Data Analyst

Data Analyst

Data Analyst

Skill Farm Experts Are Invited to Apply for the Following Role: Responsibilities: Working across teams to guide and support junior members through complex development phases - project planning, solution design, delivery, testing, product launch Builds strong and lasting relationships across Enterprise Services; can partner effectively with team members in multiple time zones Experience supporting an analytics transformation including profiling legacy reporting and providing next generation solutions that simplify the end-user experience while providing greater insights Constructively challenges business on assumptions and goals; asks questions that effectively lead to deeper understanding; pushes thinking of business partners and redirects poor business assumptions Develops practical and acceptable compromises when negotiating; adapts style to changing situations and audiences with tact, poise, and patience Demonstrates persistence to drive change Skills: 6-8 years Tableau or Power BI Development experience required (Tableau Data Analyst certification preferred; Desktop Specialist with appropriate experience will also be considered) Hands-on experience designing, developing, implementing, and supporting premium leadership dashboard reporting solutions Experience leading and managing end-to-end dashboard or analytics product lifecycles Proficiency in SQL a plus, preferred experience with Python, R, HTML/CSS/JavaScript

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 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.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.