Cloudscaler Limited on cord

Cloudscaler Limited

Head of Applied AI

External position
London, UK
Hiring internally for Cloudscaler Limited?
Cloud and Infrastructure · Consultancy
Specialists in secure, scalable enterprise cloud platforms.
Posted
a week ago
Checked
cord regularly checks that external positions are still open
7 hours ago

Skills & Experience

Job roles: Head of Data
Experience level: Senior, Lead, Leadership
Core skills considered: Artificial Intelligence, Building Teams, Business Development Strategy, Cloud Computing
Other skills considered: Technical Direction, Technical product sales, Technical Writing, Stakeholder Management

Logistics

Base salary: £130K - £150K
Employment type: Permanent
Remote working: Hybrid (up to 2 remote days p/w)
Visa sponsorship: Not available

Job Description

Cloudscaler's Applied AI business unit launched at the start of 2026 and has grown quickly, with an established offering, live client engagements and a pipeline in place. The current Head of Applied AI is stepping back from the role for personal reasons and remains with the business to hand over, so the incoming Head inherits a running unit rather than a standing start. We are recruiting to take it into its next phase of growth.

The work is running; the structure is not yet. Offerings are defined, collateral exists, engagements are live and Cloudscaler's public voice on applied AI is established. What does not yet exist is the shape around it: there is no ring-fenced team, no separate P&L and no formally defined roles. The unit began with strategy, technical expertise and sales all held in one place. Technical capability has grown since; strategy and commercial ownership have not. Formalising the practice - defining the team, the roles and the commercial structure - is part of the job rather than something the incoming Head inherits finished.

This role has both external and internal responsibilities:

Externally, it owns our AI go-to-market offerings and the customer, partner and pre-sales activity that turns them into pipeline, and it is Cloudscaler's public voice on applied AI.

Internally, it carries full commercial accountability for the business unit, provides technical delivery oversight, builds and leads the practice, and is accountable for enabling the whole company to work with AI.

The role reports to the CTO and works closely with leadership across the business. The person needs to be technical enough to direct and challenge the engineering work, and commercially credible enough to scale the unit and its offering.

It is a hands-on role. In one week, you might write a business case for the Leadership Team, advise a client CTO on their AI strategy, review an engineer's architecture decision and speak at a conference on what we have learned.


External responsibilities

These responsibilities are customer-facing, partner-facing and public facing:

Relentless client focus - Maintaining a relentless client focus, calibrated to how mature the business unit is, and being decisive about where to concentrate effort and what to stop. Early on that means client meetings and pipeline growth; later it means shifting weight to larger, more sustainable areas of demand.

AI go-to-market offerings - Defining and owning our AI go-to-market offerings, working with sales to take them to market. For each offering, defining what it is, who buys it, the problem it solves, its indicative price and its delivery model, and reviewing the set as the market moves, retiring what no longer sells and evolving what does.

Customer relationships - Building trusted-advisor relationships with our customers, from CTOs and CDOs to engineering leaders, advising at every level and translating the same insight into the right language for a C-suite sponsor setting strategy and for the developers implementing it. Converting those relationships into repeat work and referenceable engagements.

Pre-sales leadership - Leading pre-sales activity on AI opportunities, from qualification through to proposal. Supporting the delivery and commercial teams on proposals, workshops and pitches, and leading on bids where applied AI credibility is the differentiator. Qualifying opportunities in or out, including declining those we should not pursue.

Client collateral - Developing reusable client collateral (opportunity assessments, roadmaps and business cases) grounded in real delivery experience. Keeping it current as the offerings and the technology move and making it available to the delivery and commercial teams rather than rebuilt for each deal.

Partner and industry relationships - Building and owning our AI partner and industry relationships (AWS, Anthropic, OpenAI and relevant industry bodies), including the technical relationship, joint go-to-market activity, and achieving and maintaining the respective AI partner competencies that matter to our customers. An existing network inside our partners is a significant advantage, as is fluency in how each organisation works, where it sits in the market and what it is seeking to achieve commercially. Deciding which competencies to pursue and in what order and keeping them current.

Thought leadership and public voice - Providing thought leadership on applied AI and establishing Cloudscaler's public voice through speaking, meetups, blogs and whitepapers. Building our standing in external applied AI communities and contributing to industry discussion, with material grounded in work we have delivered.

Market awareness - Tracking the AI market as it moves - model releases, tooling and emerging frameworks - and forming a clear view on what is credible, what is hype, and what Cloudscaler should adopt. Bringing that view to the Leadership Team early enough to act on it, and setting our position on what we adopt, what we monitor and what we set aside.


Internal responsibilities

These responsibilities cover the commercial, delivery and capability side of the business unit.

Commercial accountability - Carrying full commercial accountability for the business unit, which is run as its own business and measured on clear financial metrics: pipeline, revenue and gross profit. In the first six months that means a six-month revenue plan, with forecast gross profit covering the cost of the leader within six months and the team gross profit positive within two quarters. This grows into full P&L ownership as the unit scales, including team economics that stand on their own.

Reporting and investment cases - Reporting to the Leadership Team on monthly KPIs covering pipeline, utilisation and gross profit against the six-month plan, and building the investment cases that fund the unit's growth. Reporting runs from month one, including the business case for establishing a dedicated team.

Technical delivery oversight - Providing technical delivery oversight of AI customer engagements, working with our delivery teams. This is an architect's role rather than an engineer's: technical enough to hold your own with client engineers and to delegate the detail, and disciplined enough not to commit to capabilities we cannot feasibly deliver. Reviewing architecture and design decisions and acting as the decision-maker when a technical call is needed.

Building and leading the practice - Building and leading our AI practice: owning Cloudscaler's AI strategy and the roadmap to deliver it, hiring and line-managing the team as it grows, capability development, and a repeatable methodology and delivery standards that make quality consistent regardless of who is leading the engagement. Defining the capability model and establishing the practice as an internal centre of excellence for review and quality assurance as it grows.

Decomposing and delegating ownership - Breaking broad areas of activity into distinct responsibilities that can be delegated and genuinely owned, and building the team to hold them. The scope of this role is deliberately broader than one person can carry: the expectation is that the Head of Applied AI grows a team around them - including the AI enablement hires already in train - and leads through that team rather than delivering everything personally. Internal AI usage guidance, reviewing internal projects, pre-sales attendance, marketing campaigns and enablement workshops each need a named owner; an informal approach works while the unit is small but will not scale.

Accelerators and intellectual property - Building reusable AI accelerators and intellectual property that shorten and de-risk customer delivery. Registering the assets as the work matures - accelerators, frameworks and reference architectures - and working with engineering

Company Benefits

  • Discretionary bonus scheme
  • 25 days’ annual leave + 5 additional days for training/exams or volunteering
  • Travel and accommodation expensed
  • Life Assurance
  • Long Term Disability cover
  • Employee Assist Programme for employee advice and support (including legal and counselling helpline)
  • Health, Mental Health, Wellbeing, Financial and Legal support
  • 24/7 GP access
  • £500 for home office equipment
  • Public holiday opt-out scheme giving you the option to work on public holidays creating the flexibility to enjoy your time off when it suits you
  • Individual training and development plans with online training and exam costs covered
  • Recruitment referral scheme – referral bonus if you introduce us to someone we then hire
  • Customer referral scheme – referral bonus if you introduce us to a new customer
  • Cycle To Work Scheme
Head of Applied AI at Cloudscaler Limited
Position posted a week ago

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Starling Bank on cord

Starling Bank

Full Stack Engineer (ML Ops)

London, UK
FinTech · Banking · Finance
A better bank for everyone
Active
over 6 months ago
Responds to
0% of requests
Responds in
1h 55m
Requests
7 pending

Skills & Experience

Job roles: Full Stack
Experience level: Mid, Senior
Core skills considered: Java, React, Redux, AWS, JavaScript

Logistics

Base salary: £70K - £110K
Employment type: Permanent
Remote working: Hybrid (up to 2 remote days p/w)
Visa sponsorship: Not available

Job Description

Starling is the UK’s first and leading digital bank on a mission to fix banking! Our vision is fast technology, fair service, and honest values. All at the tap of a phone, all the time.

Starling is the UK’s first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way.

We’re a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We’re a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices.

Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together!

The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness.

Hybrid Working

We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. We don't like to mandate how much you visit the office and work from home, that's to be agreed upon between you and your manager.

Our Data Environment

Our Data teams are excited about the value of data within the business, powers our product decisions to improve things for our customers and enhance effective and agile decision making, regardless of what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech.

We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good.

Requirements

We have built our entire banking platform in house and mostly in Java. We are looking for people who want to work on building the tooling that is used by our engineers on a daily basis.

We are looking for people who are truly full stack, and are as comfortable polishing their javascript front end as they are debugging the innards of their java applications database interactions, or standing up infrastructure with terraform. We are looking for people who can:

  • Design REST apis.
  • Code backend services, ideally using Java, or another other server side compiled language.
  • Develop modern front ends, ideally using React and Redux.
  • Get their code into the cloud and support it there, ideally on AWS.
  • Believe in clean coding, simple solutions, automated testing and continuous deployment.
  • Like to take ownership of a feature from the original idea through to live.
  • Think (like us) that a small number of empowered developers is the right way to deliver software.

Company Benefits

  • 33 days holiday (including flexible bank holidays)
  • An extra day’s holiday for your birthday
  • 16 hours paid volunteering time a year
  • Part-time and/or flexible hours available for most roles
  • Salary sacrifice, company enhanced pension scheme
  • Life insurance at 4x your salary
  • Hybrid/remote working
  • Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton
  • Generous family-friendly policies
  • Varied social groups set up and run by our employees
  • Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks
  • Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing

Full details are available on our careers site

Interview Process

Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team:

  • Stage 1 - 30 mins with one of the team
  • Stage 2 - Take home challenge
  • Stage 3 - 90 mins technical interview with two team members
  • Stage 3 - 45 min final with an executive and a member of the people team
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Message Alex Yeates at Starling Bank
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