Full-Time

Senior Machine Learning Engineer

Faculty AI

Faculty AI

1,001-5,000 employees

Enterprise AI software and consulting services

No salary listed

London, UK

Hybrid

Category
AI & Machine Learning (2)
,
Required Skills
Kubernetes
Microsoft Azure
Python
Tensorflow
Pytorch
Machine Learning
Docker
AWS
Google Cloud Platform
Requirements
  • You understand the full ML lifecycle and have significant experience operationalising models built with frameworks like TensorFlow or PyTorch
  • You bring deep expertise in software engineering and strong Python skills, focusing on building robust, reusable systems
  • You have demonstrable hands-on experience with cloud platforms (e.g., AWS, Azure, GCP), including architecture, security, and infrastructure
  • You've extensive experience working with container and orchestration tools such at Docker & Kubernetes to build and manage applications at scale
  • You thrive in fast-paced, high-growth environments, demonstrating ownership and autonomy in driving projects to completion
  • You communicate exceptionally well, confidently guiding both technical teams and senior, non-technical stakeholders
Responsibilities
  • Leading technical scoping and architectural decisions for high-impact ML systems
  • Designing and building production-grade ML software, tools, and scalable infrastructure
  • Defining and implementing best practices and standards for deploying machine learning at scale across the business
  • Collaborating with engineers, data scientists, product managers, and commercial teams to solve critical client challenges and leverage opportunities
  • Acting as a trusted technical advisor to customers and partners, translating complex concepts into actionable strategies
  • Mentoring and developing junior engineers, actively shaping our team's engineering culture and technical depth

Faculty AI delivers AI-as-a-service by combining strategy, software and hands-on delivery to help organizations implement AI solutions. It builds custom AI systems across sectors like government, healthcare, retail and energy, anchored by Frontier, its decision intelligence software that simulates cause-and-effect relationships within a business. The company differentiates itself with end-to-end AI implementation and enterprise-scale delivery, drawing on a track record with clients such as the NHS, Red Bull, Virgin Media and Moonpig. Its goal is to help organizations become data-driven, improve operational efficiency and decision accuracy, and expand internationally while creating jobs.

Company Size

1,001-5,000

Company Stage

Acquired

Total Funding

$1.1B

Headquarters

London, United Kingdom

Founded

2014

Simplify Jobs

Simplify's Take

What believers are saying

  • Accenture integration provides access to 742,000 employees and Fortune 500 client relationships globally.
  • UK defence spending increase to 2.5% GDP drives Leonardo and Hadean partnership revenue expansion.
  • Education Content Store blueprint replicates across government departments, establishing Faculty as policy infrastructure provider.

What critics are saying

  • Palantir's $6.4B cash and 40%+ free cash flow margin sustains R&D investment Faculty cannot match.
  • Marc Warner's CTO appointment reduces operational focus on Frontier product roadmap and competitive differentiation.
  • Accenture bureaucracy slows Frontier Plug-in Marketplace iteration and adoption within 6-12 months post-integration.

What makes Faculty AI unique

  • Frontier decision intelligence platform with advanced simulation and optimization capabilities unmatched by competitors.
  • Deep technical talent pool of 400+ PhDs with decade-long track record deploying AI in regulated sectors.
  • Plug-in Marketplace enables standardized, reusable AI capabilities across enterprise deployments without refactoring.

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Benefits

Unlimited Paid Time Off

Health Insurance

Dental Insurance

Enhanced parental leave

Flexible Work Hours

Hybrid Work Options

Private healthcare and dental

Family-Friendly Flexibility & Flexible working

Wellness Program

Mental Health Support

Conference Attendance Budget

Professional Development Budget

Stock Options

Company Equity

401(k) Retirement Plan

401(k) Company Match

Phone/Internet Stipend

Home Office Stipend

Remote Work Options

Paid Vacation

Paid Holidays

Adoption Assistance

Parental Leave

Family Planning Benefits

Fertility Treatment Support

Employee Referral Bonus

Tuition Reimbursement

Professional Certification Support

Mentorship Program

Gym Membership

Commuter Benefits

Meal Benefits

Legal Services

Employee Discounts

Company Social Events

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

0%

2 year growth

0%
Accenture
Jan 6th, 2026
Accenture to Acquire Faculty to Scale AI Capabilities

Accenture has agreed to acquire Faculty, a leading UK-based AI native services and products business built on highly technical applied AI skills and a unique decision intelligence product that features advanced simulation and optimization capabilities.

Financial Times
Jan 6th, 2026
Accenture buys UK AI start-up Faculty in $1bn deal

Takeover is largest-ever acquisition of a privately held UK AI start-up

Investor's Business Daily
Jan 6th, 2026
Truist Initiates Palantir With A Buy Rating. Accenture Acquires Rival Faculty.

Truist initiates Palantir with A buy rating. Accenture acquires rival Faculty. * REINHARDT KRAUSE * Updated 08:32 AM ET 01/06/2026 A Truist Securities analyst initiated coverage on Palantir Technologies (PLTR) on Tuesday with a buy rating and, like many other Wall Street analysts, cited its artificial intelligence prowess. But he also expects the data analytics software maker to "significantly increase capital returns over the long term" for Palantir stock. Truist Securities analyst Arvind Ramnani initiated Palantir stock with a buy rating and price target of 223. Meanwhile, Accenture (ACN) on Tuesday announced the purchase of Faculty, a U.K.-based artificial intelligence startup and rival of Palantir. Faculty's Chief Executive Officer Marc Warner will become Accenture's chief technology officer and the AI company's staff of about 400 people will join the information technology services giant. On the stock market today, Palantir stock rose a fraction to 175.15 in early trading. In the first two trading days of 2026, Palantir stock dipped over 3%. In 2025, Palantir stock rose 135% While Ramnani views Palantir as a leading artificial intelligence software provider, he also expects Palantir to significantly increase capital returns over the long term. "Now operating at a 40%-plus free cash flow margin profile, we see potential for Palantir to significantly increase capital returns over the long term," he said in a report. "While high levels of stock-based compensation had been an investor concern for some time, Palantir has shown it can operate profitably by generating positive GAAP EPS for the past 12 quarters and on track for a 13th straight quarter." As of Sept. 30, Palantir had $6.4 billion in cash and liquidity on its balance sheet. It does not currently offer a stock repurchase program or dividends. Artificial Intelligence push. Founded in 2003, Palantir provides data analytics tools to government customers for intelligence gathering, counterterrorism and military purposes. Palantir's tools are used in AI decision-making. Now Palantir aims to use generative AI to spur growth in the U.S. commercial market, such as health care and financial services. Generative AI relies on advanced reasoning models and provides novel outputs based on conversational user prompts. In 2025, Palantir hosted its eighth artificial intelligence conference for customers. Palantir initially rolled out its "Artificial Intelligence Platform" in early 2023. AIPCon showcases real-world AI use cases from customers. "We view Palantir as a best-in-class AI asset," Ramnani added. "We think Palantir is ideally positioned for increased AI adoption: Palantir holds a unique market position in our view, ideally positioned for increased AI adoption by both government organizations and enterprises. The company has provided a leading software platform that integrates large organizations' proprietary data with their operations and security to improve decision-making, which now positions Palantir to capture GenAI implementation with its AIP as organizations race to generate insights and efficiencies with the technology." Palantir stock technical ratings. Meanwhile, Palantir's Relative Strength Rating stands at 93 out of a best-possible 99. But PLTR stock holds an Accumulation/Distribution Rating of C-plus. That rating analyzes price and volume changes in a stock over the past 13 weeks of trading. A+ signifies heavy institutional buying; E means heavy selling. Think of a C grade as neutral. Also, Palantir stock holds a Composite Rating of 99 out of a best-possible 99, according to IBD Stock Checkup. IBD's Composite Rating combines five separate proprietary ratings into one easy-to-use rating. The best growth stocks have a Composite Rating of 90 or better. Follow Reinhardt Krause on X, formerly Twitter, @reinhardtk_tech for updates on artificial intelligence, cybersecurity and cloud computing.

Tech.eu
May 13th, 2025
Leonardo Partners With London-Based Faculty Ai To Advance Defencetech

UK defence and aerospace giant Leonardo has announced the first partnership under its newly launched SME Collaboration Partner Programme, teaming up with London-based Faculty AI to co-develop next-generation AI-powered defence technologies.The initiative marks a strategic push by Leonardo to harness innovation from the UK’s SME sector, as the government moves to increase defence spending to 2.5 percent of GDP and encourages broader participation in national security innovation. This collaboration reflects broader trends across Europe, where large defence primes are increasingly turning to nimble, specialist tech firms to inject speed and flexibility into R&D pipelines.The Faculty partnership will focus initially on Cognitive Intelligent Sensing (CoInS) and Electronic Warfare (EW) technologies. These systems use AI and machine learning to process real-time data, with applications ranging from sensor autonomy to combat aircraft countermeasures.“Our goal is to move beyond a transactional prime-supplier relationship,” said Professor Simon Harwood, Capability Director at Leonardo UK. “We’ll be looking for opportunities where Leonardo’s expertise in defence electronics sensors and integration, military rotorcraft and cyber security can incorporate the AI expertise of Faculty to deliver something of tangible benefit to our customers.”Faculty AI, one of the UK’s most prominent independent AI companies, will bring its experience in deploying AI for operational optimisation and real-world decision-making. The firm has previously worked with the NHS and UK government departments, and its AI models are already in use in highly regulated and sensitive environments.“We’ve used AI to solve frontline problems for a decade and are world-leading experts in this field,” said Marc Warner, CEO of Faculty AI. “AI is already reshaping defence – enabling faster, more accurate decision-making, improved threat detection and greater operational efficiency

Tech.eu
Jan 24th, 2025
Meet The Startup Shaking Up Uk Education Ai Policy: Faculty Ai

UK government education policy is being shaken up by a UK startup, which is leveraging AI to help teachers mark homework. Faculty AI is behind the government initiative, which pools data to create AI apps aimed at making a teacher's job easier.Faculty AI, which worked with Vote Leave on the Brexit Referendum, last year won a £3m Department of Education contract to build a “content store”. The store is a database of curriculum and lesson plan data, including anonymised work from pupils.From this database, developers will develop AI tools, such as AI tools for marking homework and planning lessons, to help ease the workload of teachers and innovate in the classroom. AI tools likely to be launched could help teachers with marking, planning lessons, or alleviating other time-consuming exercises.Tom Nixon, managing director, applied AI, Faculty AI, says the “content store” concept has been positively received by teachers and could be used across other government departments.For example, AI applications could be built from pooled data to help improve efficiencies across the Department for Environment, Food & Rural Affairs and Department for Energy Security and Net Zero. Nixon said the “content store’ concept had already been used as the blueprint behind the government's new National Data Library.Nixon added:“Our impression is that there are lots of other different areas of government for which that Content Store concept be applied, for either text content or potentially more numerical tabular content. “To give some examples, things like geospatial data, and energy data, not personal customer energy data, but more the data about energy systems, things like agriculture, and agri-tech, and rules and regulations around agriculture.”Faculty AI, founded in 2014, works with the UK government on different projects, including supplying data services to the NHS and providing services to the UK’s AI Institute