National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Software Engineering Manager, Machine Learning

Two Sigma
London
3 weeks ago
Applications closed

Related Jobs

View all jobs

Software Engineering Manager - Machine Learning- Systematic Quant Fund

Software Engineering Manager – Machine Learning

Software Support Engineer

Senior Machine Learning Engineering Manager, GenAI

Senior TypeScript Backend Software Engineer

TypeScript Node.JS Developer on AWS

Software Engineering Manager, Learning Engineering

Join to apply for theSoftware Engineering Manager, Learning Engineeringrole atTwo Sigma

Software Engineering Manager, Learning Engineering

1 day ago Be among the first 25 applicants

Join to apply for theSoftware Engineering Manager, Learning Engineeringrole atTwo Sigma

Position Summary

Two Sigma is a financial sciences company, combining data analysis, invention, and rigorous inquiry to help solve the toughest challenges in investment management, insurance technology, securities, private equity, and venture capital.

Our team of scientists, technologists, and academics looks beyond the traditional to develop creative solutions to some of the world’s most complex economic problems.

The Learning Engineering team’s mission is to create cutting-edge tools that empower the entire spectrum of Machine Learning tasks for our investment management business. Our work ranges from feature engineering to learning and scoring across a wide array of techniques. We are dedicated to advancing the field of Machine Learning through both strategic initiatives and tactical projects. These projects include developing comprehensive learning platforms and collaborating one-on-one with researchers to provide high-quality, actionable insights. We pride ourselves on delivering solutions that are not only technically robust but also highly impactful for our users.

We are looking for a Software Engineering Manager to lead our Learning Engineering efforts. This team is currently focused on developing tools for scoring, profiling, experiment management, and interpretability—key areas that are crucial for advancing the effectiveness and transparency of Machine Learning models. Your goal will be to deliver world-class machine learning software that meets the highest standards of quality and performance. Additionally, you will be responsible for fostering a positive and productive team environment, ensuring that your team members are efficient and happy today, while also providing them with opportunities to continue learning and growing their careers.

You Will Take On The Following Responsibilities

  • Guide and manage a team of 6-7 talented software engineering individual contributors
  • Provide mentorship and support to junior engineers, fostering their professional development.
  • Engage actively with users, product managers, and senior management to align on key technical directions.
  • Create and implement technical designs, writing high-quality code to bring them to life.
  • Review and provide constructive feedback on designs and code produced by colleagues.

You Should Possess The Following Qualifications

  • A Bachelors with Honours in a relevant discipline is required.
  • Proven experience in engineering Machine Learning systems for technically sophisticated users at scale.Mastery of Python and working knowledge of C++ and Java.
  • Knowledge of leading open-source machine learning systems and tools.
  • Demonstrated experience in leading technical teams.
  • Strong collaborative nature, both within and across teams.

You Will Enjoy The Following Benefits

  • Core Benefits: Fully paid medical and dental insurance premiums for employees and dependents, competitive 401k match, employer-paid life & disability insurance
  • Perks: Onsite gyms with laundry service, wellness activities, casual dress, snacks, game rooms
  • Learning: Tuition reimbursement, conference and training sponsorship
  • Time Off: Generous vacation and unlimited sick days, competitive paid caregiver leaves
  • Hybrid Work Policy: Flexible in-office days with budget for home office setup

We are proud to be an equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.Seniority level

  • Seniority levelMid-Senior level

Employment type

  • Employment typeFull-time

Job function

  • Job functionEngineering and Information Technology

Referrals increase your chances of interviewing at Two Sigma by 2x

Get notified about new Software Engineering Manager jobs inLondon, England, United Kingdom.

London, England, United Kingdom 1 week ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 2 months ago

Director of Software Development and Engineering

London, England, United Kingdom 3 weeks ago

London, England, United Kingdom 3 months ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 1 week ago

Richmond Upon Thames, England, United Kingdom 3 weeks ago

London, England, United Kingdom 2 weeks ago

Engineering Manager - strong headcount growth experience - £150k - ID40652

London Area, United Kingdom £70,000.00-£70,000.00 1 month ago

London Area, United Kingdom £70,000.00-£70,000.00 1 month ago

Software Engineering Manager - Horizon Infra & Tooling (Reality Labs)

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 2 months ago

SVP, Software Engineering Manager – Risk Technology

London, England, United Kingdom 1 week ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 1 month ago

Software Engineering Manager - ML Generalist

London, England, United Kingdom 2 weeks ago

Greater London, England, United Kingdom 3 days ago

London, England, United Kingdom 2 weeks ago

Greater London, England, United Kingdom 1 week ago

Software Engineering Manager - Product Generalist

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 2 days ago

London, England, United Kingdom 5 days ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.


#J-18808-Ljbffr

National AI Awards 2025

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.

Careers Jobs

10 AI Recruitment Agencies in the UK You Should Know (2025 Job‑Seeker Guide)

Generative‑AI hype has translated into real hiring: Lightcast recorded +57 % year‑on‑year growth in UK adverts mentioning “machine learning”, “LLM” or “gen‑AI” during Q1 2025. Yet supply still lags. Roughly 18,000 core AI professionals work in the UK, but monthly live vacancies hover around 1,400–1,600. That mismatch makes specialist recruiters invaluable—opening stealth vacancies, advising on salary bands and fast‑tracking interview loops. But many tech agencies sprinkle “AI” on their website without an active desk. To save you time, we vetted 50 + consultancies and kept only those with: A registered UK head office (verified via Companies House). A named AI/Machine‑Learning or Data practice.

Jobs Careers

AI Jobs Skills Radar 2026: Emerging Frameworks, Languages & Tools to Learn Now

As the UK’s AI sector accelerates towards a £1 trillion tech economy, the job landscape is rapidly evolving. Whether you’re an aspiring AI engineer, a machine learning specialist, or a data-driven software developer, staying ahead of the curve means more than just brushing up on Python. You’ll need to master a new generation of frameworks, languages, and tools shaping the future of artificial intelligence. Welcome to the AI Jobs Skills Radar 2026—your definitive guide to the emerging AI tech stack that employers will be looking for in the next 12–24 months. Updated annually for accuracy and relevance, this guide breaks down the top tools, frameworks, platforms, and programming languages powering the UK’s most in-demand AI careers.

Jobs

How to Find Hidden AI Jobs in the UK Using Professional Bodies like BCS, IET & the Turing Society

Stop Scrolling Job Boards and Start Tapping the Real AI Market Every week a new headline announces millions of pounds flowing into artificial-intelligence research, defence initiatives, or health-tech pilots. Read the news and you could be forgiven for thinking that AI vacancies must be everywhere—just grab your laptop, open LinkedIn, and pick a role. Yet anyone who has hunted seriously for an AI job in the United Kingdom knows the truth is messier. A large percentage of worthwhile AI positions—especially specialist or senior posts—never appear on public boards. They emerge inside university–industry consortia, defence labs, NHS data-science teams, climate-tech start-ups, and venture studios. Most are filled through referral or conversation long before a recruiter drafts a formal advert. If you wait for a vacancy link, you are already at the back of the queue. The surest way to beat that dynamic is to embed yourself in the professional bodies and grassroots communities where the work is conceived. The UK has a dense network of such organisations: the Chartered Institute for IT (BCS); the Institution of Engineering and Technology (IET) with its Artificial Intelligence Technical Network; the Alan Turing Institute and its student-driven Turing Society; the Royal Statistical Society (RSS); the Institution of Mechanical Engineers (IMechE) and its Mechatronics, Informatics & Control Group; public-funding engines like UK Research and Innovation (UKRI); and an ecosystem of Slack channels and Meetup groups that trade genuine, timely intel. This article is a practical, step-by-step guide to using those networks. You will learn: Why professional bodies matter more than algorithmic job boards Exactly which special-interest groups (SIGs) and technical networks to join How to turn CPD events into informal interviews How to monitor grant databases so you hear about posts months before they exist Concrete scripts, portfolio tactics, and outreach rhythms that convert visibility into offers Follow the playbook and you move from passive applicant to insider—the colleague who hears about a role before it is written down.

🍪 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.