Janus Henderson Investors on cord

Janus Henderson Investors

Principal Forward Deployed Engineer

External position
London, UK
Hiring internally for Janus Henderson Investors?
Finance · Investment
We’re a global asset manager dedicated to investing in a #BrighterFutureTogether for our clients.
Posted
a week ago
Checked
cord regularly checks that external positions are still open
2 days ago

Skills & Experience

Job roles: AI Engineer
Experience level: Senior, Lead, Leadership
Core skills considered: Python, SQL, Machine Learning, Data Pipelines
Other skills considered: Cloud Computing, CI/CD, Stakeholder Management, Technical Direction

Logistics

Base salary: Undisclosed
Some companies on cord are unable to disclose salaries publicly due to internal company policies. Message the company for salary information.
Employment type: Permanent
Remote working: Hybrid
Visa sponsorship: Not available

Job Description

This is a hands-on engineering leadership role. You will build, and you will lead the people who build. It starts with your own hands on the keyboard; it grows into ownership of a team, its deliverables, and the roadmap they work to. Janus Henderson is undertaking a firm-wide AI transformation to become the most technologically sophisticated asset manager in the industry. Our AI capability sits in a single centralised function under the Head of AI, and Forward Deployed Engineering is the part of it that embeds with the business and builds what business units cannot stand up alone. As Principal Forward Deployed Engineer you are the most senior engineer in that team and its lead. Reporting to the Head of AI Technology, you set the technical bar, own the team's deliverables and outputs, and are accountable for what it ships and runs - while still embedding with business units yourself. You will also form part of the AI Technical Leadership Team, whose remit is to build an AI Technology roadmap that lines up with the JHI strategic roadmap and own the deliverables against it. It works across every AI technology remit - AI Platforms, AI Architecture, AI Engineering, and AI Governance Implementation - keeping them aligned so the firm has one coherent plan rather than four competing ones. It also decides what we adopt: you will review new models, tools, and vendors, test their claims against our own workloads, and judge whether they are feasible here, technically, commercially, and against the constraints a regulated asset manager operates under. The balance of the role will shift, and we would rather be explicit than discover a mismatch later. Today it is predominantly hands-on: you are expected to be one of the strongest builders in the firm. As the team grows, the weight moves towards strategy, roadmap, and management, and your technical contribution shifts from writing most of the code to setting direction and holding the standard. If you want to stay purely hands-on, the Forward Deployed Engineer role is the better fit.


Responsibilities

  • Line-manage Forward Deployed Engineers as the team grows: hiring, onboarding, objectives, development, and performance.
  • Own the team's deliverables and outputs - what is committed, what is delivered, to what standard, and by when.
  • Allocate people and effort across the demand pipeline, and be the person who says no, not yet, or not like that.
  • Hold the engineering bar through design and code review, and grow engineers into owning engagements themselves.
  • Report progress, risk, and capacity to the Head of AI Technology and to business stakeholders honestly, including when delivery is off track.
  • Design, build, and productionise bespoke, higher-complexity AI solutions yourself, taking the hardest and least-defined engagements personally.
  • Own the architecture and design decisions for the team's solutions, keeping them secure, scalable, and aligned to the enterprise core stack.
  • Take solutions through evaluation, observability, and our AI governance checkpoints, and keep them healthy afterwards.
  • Form part of the AI Technical Leadership Team, and build an AI Technology roadmap that lines up with the JHI strategic roadmap.
  • Work across the AI technology remits - AI Platforms, AI Architecture, AI Engineering, and AI Governance Implementation - owning the Forward Deployed Engineering deliverables and keeping them aligned to enterprise architecture.
  • Contribute to AI technology strategy, standards, and buy-versus-build, and to the investment recommendations and backlog that follow.
  • Review new models, tools, and vendors and determine their feasibility here, weighing cost, licensing, security, supportability, and vendor viability alongside capability, and documenting the recommendation - including the recommendation not to adopt.
  • Sit with business users and hold the relationship senior enough that the team is invited into problems early rather than handed finished requirements.
  • Partner with the AI Enablement Partners on escalated demand, and set realistic expectations with senior stakeholders.
  • Build advanced investment capability on Nexus, our agentic workspace, taking models and signals from one desk into a supported, firm-wide capability, and lead the build-out of citizen developer workflows through to production.
  • Expose data and capability through Accio, our centralised MCP server, and as skills, tools, and connectors on Nexus, building reusable components rather than one-off integrations.
  • Co-build enterprise core-stack deliverables with Percepta and AI Engineering, and represent Forward Deployed Engineering in architecture and design authority forums.

Requirements

  • At minimum eight years in technical, business-facing engineering roles - forward deployed engineering, solutions engineering, consulting-side software engineering, or engineering embedded in a business unit - including time as the most senior engineer on the work. Former technical founders are encouraged to apply.
  • Experience leading engineers as a line manager, tech lead, or founder. You need not have run a large team, but you must have been accountable for other people's delivery.
  • Strong Python and SQL, and a track record of shipping production applications, with hands-on delivery recent enough to still be real.
  • Production experience with LLMs - prompt and context engineering, agent development, evaluation, deployment at scale - including agentic capability such as MCP servers, tools, or connectors.
  • Experience building data pipelines from APIs and enterprise systems, and working knowledge of a major cloud, ideally Azure, with CI/CD, containers, and infrastructure as code.
  • Experience owning a technical roadmap, and judgement on technology selection - you can evaluate a new tool, model, or vendor, test it properly, and defend the recommendation.
  • Excellent stakeholder skills, credibility with senior audiences, and the ability to influence without direct authority.
  • High agency, genuine interest in the business problem, and willingness to move from building towards leading as the team grows.
  • Experience in a regulated environment where governance, compliance, and data sensitivity shape how solutions are built.

Nice to have skills

  • Experience standing up a new engineering team or function from scratch, including hiring and defining how it works.
  • Asset management or financial services domain knowledge, particularly the investment process, front office workflows, or fixed income.
  • Quantitative investment concepts such as fair value, relative value, signal generation, or portfolio construction.
  • Snowflake, Microsoft Fabric / OneLake, Azure AI Foundry, model gateways, or AI observability in production.
  • Vendor selection, commercial negotiation, or licensing at enterprise scale, or contributing to architecture and technology governance forums.

Supervisory responsibilities

Yes. This role line-manages Forward Deployed Engineers. There may be no direct reports on day one; the team is expected to be built out under this role, with line-management responsibility growing accordingly. Until then it carries technical leadership and delivery accountability for Forward Deployed Engineering.

Company Benefits

  • Hybrid working and reasonable accommodations
  • Generous Holiday policies
  • Paid volunteer time to step away from your desk and into the community
  • Support to grow through professional development courses, tuition/qualification reimbursement and more
  • All-inclusive approach to Diversity, Equity and Inclusion
  • Maternal/paternal leave benefits and family services
  • Complimentary subscription to Headspace – the mindfulness app
  • Corporate membership to ClassPass and other health and well-being benefits
  • Unique employee events and programs including a 14er challenge
  • Complimentary beverages, snacks and all employee Happy Hours
Principal Forward Deployed Engineer at Janus Henderson Investors
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
Alex Yeates on cord
Message Alex Yeates at Starling Bank
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