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

Apply Now

Software Engineer, Machine Learning

Meta
City of London
1 week ago
Create job alert

Software Engineer, Machine LearningMetaSoftware EngineeringEngineeringMeta is seeking talented engineers to join our teams in building cutting-edge products that connect billions of people around the world. As a member of our team, you will have the opportunity to work on complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for passionate individuals who can help us advance the way people connect globally. If you're interested in joining a world-class team of engineers and researchers to work on exciting projects that have significant impact, we encourage you to apply.Software Engineer, Machine Learning Responsibilities* Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences* Implement custom user interfaces using latest programming techniques and technologies* Analyze and optimize code for quality, efficiency, and performance, and provide feedback to peers during code reviews* Set direction and goals for teams, lead major initiatives, provide technical guidance and mentorship to peers, and help onboard new team members* Architect efficient and scalable systems that drive complex applications* Identify and resolve performance and scalability issues, and drive large efforts to reduce technical debt* Work on a variety of coding languages and technologies* Establish ownership of components, features, or systems with expert end-to-end understandingMinimum Qualifications* Programming experience in a relevant language* Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience* Demonstrated experience driving change within an organization and leading complex technical projects* Experience utilizing data and analysis to explain technical problems and provide detailed feedback and solutionsPreferred Qualifications* Masters degree or PhD in Computer Science or a related technical field* Experience with frameworks like TensorFlow, PyTorch, or Scikit-learn* Knowledge of NLP techniques, including text preprocessing, tokenization, and sentiment analysis* Understanding of information retrieval concepts, such as indexing, querying, and ranking* Demonstrated experience with data structures and algorithms, including graph theory and optimization techniquesAbout MetaMeta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics. Equal Employment OpportunityMeta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice .Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the .APPLY NOW## Find your roleExplore jobs that match your skills and experience. Search by technology, team or location to find an opening that’s right for you.
#J-18808-Ljbffr

Related Jobs

View all jobs

Software Engineer - (Machine Learning Experience a plus) - hybrid

Senior Software Engineer, Machine Learning Services (MLS)

Senior Software Engineer, Machine Learning - EA SPORTSTM FC

Software Engineer II, Applied Machine Learning

Staff Software Engineer, Data & Machine Learning

Software Engineer (Leadership) - Machine Learning

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.