Engineering Manager Jobs in London, UK

Looking for an engineering manager job in London? Choose from 22 open roles at 16 employers. Explore real salary data and skills breakdown across remote, hybrid and on-site roles.

22 Open roles
16 Companies hiring
โ€” Average salary

What do Engineering managers in London work on?

The sample titles span a wide range of domains. Some roles are product-facing: the Experimentation role at Spotify involves leading a distributed team building and selling an internal experimentation platform as SaaS, including hands-on hiring and occasional engineering work. Others are deeply infrastructure-oriented: the AI Models Infrastructure role at Fin centres on owning the platform behind model training and production, working alongside ML scientists and managing technical roadmaps.

Several postings sit at the intersection of AI safety and tooling. The Safeguards role at Anthropic involves managing teams that build enforcement and review systems, with responsibilities covering analytics platforms and privacy-preserving data access. Meanwhile, the AI Product role at Figma focuses on developer-facing tools including Dev Mode and MCP integrations. Across most postings, core responsibilities include setting technical direction, mentoring engineers, managing roadmaps, and partnering with product and design stakeholders.

Skills and experience employers ask for

Skills counts reflect mentions in descriptions across these postings, not stated requirements. With a sample of this size, the pattern is indicative rather than definitive. Agents and LLMs appear in the largest share of postings, suggesting many roles sit in AI contexts. Cloud infrastructure terms such as AWS, Kubernetes, Docker, and CI/CD appear regularly, pointing toward platform or infrastructure responsibilities. TypeScript appears in a minority of postings.

Agents 41%
LLMs 27%
AWS 27%
APIs 27%
Evaluation 23%
CI/CD 23%
Kubernetes 18%
Docker 18%
TypeScript 18%
GCP 14%
Terraform 14%
Python 9%
RAG 9%
Azure 9%

Engineering Manager roles that state a salary

The employers' own advertised ranges, for individual roles at different levels โ€” not an average and not a market rate.

London office, hybrid or remote?

Most postings in this set are hybrid, meaning some in-office attendance is expected alongside remote days, though the specific split is not stated in the majority of cases. A smaller group are listed as fully onsite, making regular London office presence a firm requirement. Only one posting is listed as fully remote. No postings have an unknown work mode. Candidates should check individual listings for office location details, as employers range from AI-focused companies to consumer technology firms, each likely with different office setups.

Make your application specific to the work

  1. Read the technical domain carefully These roles span platform infrastructure, AI safety tooling, developer products, and consumer features, so the day-to-day engineering context varies significantly. Confirm the domain matches your background before applying.
  2. Check work mode requirements Most postings are hybrid and a substantial number are onsite, so verify the specific attendance expectations for each role, particularly if you have constraints on how often you can come into a London office.
  3. Prepare your people leadership examples Across the sample summaries, interviewers are likely to probe how you have hired, developed, and unblocked engineers, and how you have managed technical roadmaps in collaboration with product or ML counterparts.
  4. Note that pay is rarely disclosed Only one posting in this set includes an advertised salary range, so for most roles you will likely need to discuss compensation during the process rather than assess it upfront from the listing.

Questions about Engineering Manager jobs in London

It varies by posting. At least one posting explicitly labels the role as hands-on, and the Spotify experimentation role mentions occasional engineering work alongside people management. Others, particularly infrastructure-focused roles, appear to emphasise technical leadership and roadmap ownership over writing code directly. Check each listing individually.

Visa sponsorship is not stated in the fact pack for these postings. You would need to check each employer's listing directly, as this information is not available here.

Based on the sample summaries, most roles expect a solid engineering background, with several requiring prior experience leading infrastructure or platform teams. AI and ML familiarity appears in a number of postings, particularly those at AI-focused companies. Specific language or tool requirements differ by role.

Only one posting in this set is listed as fully remote. The majority are hybrid, and a substantial number are onsite. If remote working is essential, options on this page are limited.

DeepL and Fin each have three postings in this set, and Anthropic and Scale AI each have two. The remaining employers represented have one posting each.

Jobs checked 2 hours ago. ยท Guide reviewed 9 September 2026.