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

Apply Now

Software / ML / Data Engineer

Investigo
London
1 year ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer

Data Scientist

Machine Learning Engineer

Machine Learning Engineer

Lead Machine Learning Engineer Graph ML

DataOps Engineer

Job description

Role: Senior Software / ML / Data Engineer

Location: London (2x per week)

Calling all software / data ML engineers with experience in Apache Spark, Scala and ideally commercial and enterprise applications!

We are currently supporting aleading SaaS provider,based in London, who are on an exciting journey of transformational growth. As a business, they are a product focused company, offering a cutting-edge hybrid observability platform powered by AI.

Their innovative platform integrates AI and Machine Learning into every layer, empowering modern enterprises to achieve unparalleled operational visibility and predictability across their IT environments.

They are looking for a Senior Software / Data ML Engineer with the following skillset:

  • Over6 years of experience in software development, focusing oncommercial or enterprise applications.
  • More than 4 years of dedicatedScaladevelopment
  • Extensive knowledge ofscalable data systems, including NoSQL databases like HBase
  • Kafka experience
  • Proven expertise in building, deploying, and optimising jobs withApache Spark - specifically Spark Structured Streaming.Experience with batch processing will not be relevant (thisis mandatory)
  • Strong ability to write maintainable, production-ready code with comprehensive testing.
  • Familiarity with container technologies likeDocker and Kubernetes.
  • Experience collaborating with Data Scientists to transform prototypes into scalable applications.
  • Excellent communication skills
  • Bachelor's degree or higher in Computer Science or a related field.

The team consists of 12 high performing individuals which is in the early stages of its growth phase. They have a brilliant culture of collaboration, peer reviewing and development.

If this seems like a strong fit for you, please apply with your up-to-date cv.

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.

Jobs

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

Jobs

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Jobs

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

🍪 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.