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

Apply Now

Technical Account Manager

Understanding Recruitment
Nottingham
9 months ago
Applications closed

Related Jobs

View all jobs

Senior Strategic Analytics and Data Science Manager

Senior Strategic Analytics and Data Science Manager

Lead Machine Learning Engineer

Data Scientist (Portfolio Analytics

Data Scientist (Portfolio Analytics)

Data Scientist (Portfolio Analytics)

Technical Account Manager - Machine Learning/Data Science - USA (Remote)


A well-funded and rapidly growing technology startup, are seeking a talented Technical Account Manager who hasprior experience as a Data Scientist or ML Engineerto join their team.


What will you be doing:


As a Technical Account Manager, you will be responsible for managing and strengthening relationships with the company's key customers. This involves understanding their unique needs, providing technical expertise and guidance, and ensuring they achieve maximum value from the platform.


Key Responsibilities:


  • Serve as the primary technical point of contact for assigned customer accounts
  • Proactively identify and address customer challenges, collaborating with cross-functional teams to provide solutions
  • Advocate for customer needs and provide feedback to the product team to drive platform enhancements
  • Deliver technical training and best practices to empower customers to utilize the platform effectively


What we'd love to see:


  • At least 3 years' of experience in a technical customer-facing role
  • Python proficiency
  • A couple of years' experience as a Data Scientist or Machine Learning Engineer
  • Strong problem-solving and analytical skills, with the ability to understand complex technical concepts
  • Excellent communication and interpersonal skills, with the ability to effectively liaise with both technical and non-technical stakeholders


Other important info:


  • Must have the right to work in the US without sponsorship
  • Salary of $120,000 - 180,000 dependent on experience.


Please submit your resume for immediate consideration!

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.

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.

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.

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.