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

Apply Now

Strategy & Data Consultant Engineer

Mirai Talent
London
1 year ago
Applications closed

Related Jobs

View all jobs

Lead Data Engineer - Microsoft Fabric - Hybrid - £75k

(INV) Senior Consultant, Data Engineer, AI&Data, UKI

(INV) Senior Consultant, Data Engineer, AI&Data, UKI

Consultant - Manager, Data Engineer, AI & Data, Defence & Security

Senior Data Science Consultant, AWS Professional Services

Senior Data Science Consultant, AWS Professional Services

Data Engineer

We are on the lookout for a superstar Data Engineer for a start-up scale-up consultancy who are on a mission to change the narrative! You will work on client-facing projects as well as take an active role in the strategic and operational side of our clients business.

What you’ll be doing:

Supporting the development of hypotheses for “the answer” and defining tests to validate or disprove these. Leading project “workstreams”, being responsible for the delivery of the work within those work packages and ensuring these fit in with the wider project context. Undertaking exploratory analysis in Tableau (or other preferred analytics tool) to develop the burden of proof for hypotheses. Developing Machine Learning models in Python or R, for applications such as customer segmentation, marketing strategy and optimisation, pricing strategy, etc. Supporting the deployment of proofs of concepts of aforementioned Machine Learning models in the client’s technical and business architecture (e.g. Azure, Snowflake, etc.). Building data pipelines in cloud platforms. Leveraging tools like dbt, SQL, Python, Azure Data Factory to build reusable data assets for clients Acting as a business partner to senior colleagues as well as clients, to advise on strategic decisions. Collaborating with client teams to ensure successful delivery of projects, which can include helping ensure access to data, setting up collaboration processes, etc.

What else you can expect:

IP development: Defining and iterating our service portfolio, methodologies, etc. Strategy: Helping define our mid-long-term strategy and tracking of actions against this. Business Development: Supporting our GTM efforts, helping win clients and sell projects. Internal Operations: Helping develop internal processes.

You’ll thrive if you have:

Exceptional business acumen and “commercial knack”: Having a good sense for where opportunities for growth and optimisation exist within a business, being able to relate technical aspects into their business impact, etc.Strong analytical profile: An ability to dissect business problems through analysis end-to-end, i.e. to define an approach, execute it, and critically analyse its results. A general ability to work with numbers and data.Collaboration and team work: An ability to work in small, fast-paced teams – being able to understand one’s role within the project structure, deliver against it, and be flexible when needed.An entrepreneurial mindset: The company are an early stage startup and as such is suited to someone with an entrepreneurial mindset. This means having the ability to be flexible, proactive, and to get things done – even if these are not things you have done before, or even know how to!

What’s in it for you:

Excellent pathway from consultant to senior consultant, either through a commercial or technical track. Hybrid working – Typically 3 office days/week. Flexibility for short periods of remote work. Performance based cash bonus up to £20k Opportunity for future equity in the business depending on progression Join a growing team!

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 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.

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.