Full-Time

Delivery Manager

Energy Transition & Environment

Updated on 8/23/2026

Faculty AI

Faculty AI

1,001-5,000 employees

Enterprise AI software and consulting services

No salary listed

London, UK

Hybrid

Hybrid working in London.

Category
Consulting (1)
Required Skills
Data Science
Machine Learning

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Requirements
  • Experience in consultancy or service-based delivery, managing complex project lifecycles and meeting critical deadlines under pressure.
  • A broad understanding of the energy value chain, ideally with demonstrable experience working for relevant players such as utilities, suppliers, traders, policymakers, or regulators.
  • Experience taking responsibility for successful project delivery from initial scoping through end-user adoption within regulated businesses.
  • Outstanding communication skills, including managing senior stakeholders and translating complex concepts for non-technical audiences.
  • Comfort working with technical teams and a proven track record delivering technical projects.
  • A practical problem-solving approach, including identifying risks to important missions and proactively implementing solutions.
  • A structured approach to problem-solving and delivering high-quality, high-stakes projects in ambiguous settings.
Responsibilities
  • Own the end-to-end delivery of AI projects for prominent clients across the energy and utilities value chain, from initial scoping and daily driving through final implementation.
  • Collaborate with technical, innovation, and other key client teams.
  • Manage projects, drive development, and ensure a delivery approach that provides maximum value to the customer.
  • Form strong, trusting relationships with customers, internal team members such as data scientists and machine learning engineers, and technical partners to translate user research into solution requirements and operational impact.
  • Develop and execute compelling proposals to grow the company’s footprint and impact across the Energy Transition sector.
  • Advise clients on AI strategy and technical implementation as a trusted partner in high-stakes environments, with support from a technical team.
  • Mentor peers and take a proactive role in building robust processes and practices within the team.
Desired Qualifications
  • Experience delivering technical projects in artificial intelligence.

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

$56.5M

Headquarters

London, United Kingdom

Founded

2014

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Simplify Jobs

Simplify's Take

What believers are saying

  • Halfspace joined Faculty on 2026-06-09, launching its first global expansion step.
  • Frontier Plug-in Marketplace launched 2026-04-23, deepening customer lock-in and implementation speed.
  • Life Sciences Developer Studio launched 2026-06-16, targeting faster clinical-trial simulation for pharma customers.

What critics are saying

  • Faculty is no longer independent after Accenture completed acquisition on 2026-03-16.
  • Consulting-heavy revenue faces commoditization as Accenture integrates Faculty into broader delivery teams.
  • Defense and government contracts face procurement scrutiny, export controls, and budget delays through 2026.

What makes Faculty AI unique

  • Frontier combines simulation, optimization, and decision intelligence for regulated enterprise workflows.
  • Marc Warner became Accenture CTO on 2026-03-16, preserving Faculty’s technical leadership.
  • Faculty built trusted AI systems for NHS, Leonardo, and life sciences trial simulation.

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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%
PR Newswire
Jun 16th, 2026
Faculty launches life sciences developer studio for faster clinical trial simulation

Faculty has launched the Frontier Life Sciences Developer Studio, an enhanced development environment for life sciences teams to build and deploy Computational Twins for clinical trial simulation. The tool aims to help pharmaceutical organisations compress planning cycles from weeks to minutes and run more efficient trials. The Studio includes embedded AI agents that diagnose bugs, reconcile data discrepancies and suggest fixes in real time across clinical trial management systems, patient enrolment data and site activation logs. This reduces debugging time and increases confidence before production deployment. Faculty, founded in 2014 and acquired by Accenture in 2026, develops the Decision Intelligence platform Faculty Frontier. The Studio is now available to all Frontier life sciences customers, enabling clinical trial teams to rapidly iterate simulation-driven decisions across the trial lifecycle.

PR Newswire
Apr 23rd, 2026
Faculty launches Frontier Plug-in Marketplace to accelerate decision intelligence deployment

Faculty has launched the Frontier Plug-in Marketplace, a curated ecosystem of modular plug-ins that extends its Decision Intelligence platform. The marketplace enables teams to discover, adopt and contribute plug-ins directly within existing Frontier deployments without refactoring. The marketplace addresses enterprise AI scaling challenges by providing reusable capabilities spanning data ingestion, MLOps pipelines, decision management and validation tooling. Teams can build and share their own plug-ins whilst retaining full control, with all contributions reviewed and versioned by Faculty. Available to all Frontier customers, the marketplace aims to help organisations standardise AI capabilities, accelerate deployment and improve decision-making at scale. Faculty, founded in 2014 and acquired by Accenture in 2026, develops AI products for frontier AI deployment and works with leading AI labs including OpenAI, Anthropic and Meta.

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.