AI/ML Engineer Jobs in London

Contact email: Job ref: JDMM/FF/0102 Startdate: ASAP Are you looking to move into a buyside firm and work on their Market Making Desk? This team is led by experienced professionals and is known for its collaborative approach and innovative projects. With a focus on building in-house technology, the team works on cutting-edge low latency, high availability systems, and next-generation trading models. Key Responsibilities: Develop and maintain high-quality software with a focus on Java, ensuring robust and efficient solutions. Contribute to the integration of new technologies and methodologies, supporting the team's tech stack overhaul. Participate in the design and implementation of systematic trading components, particularly in FX or futures markets. Engage in a variety of tasks, from writing trading models to implementing new features, while continuously learning and adapting. Ideal Candidate Profile: Java developer with strong skills in Linux and SQL. Solid understanding of core computer science concepts, such as threading and algorithms. Demonstrated experience in delivering high-quality, well-tested software in a practical setting. Keen interest in pricing and execution, with the versatility to handle diverse tasks. Quick to learn new languages, technologies, or domains as needed. Demonstrates personal initiative, strong communication skills, and meticulous attention to detail. Capable of adapting to the fast-paced and evolving nature of the financial sector. Preferred: Background in developing systematic trading components, preferably in spot FX or futures markets. By submitting your details you agree to our T&Cs

AI Solutions Product Manager - London/Manchester/Edinburgh

Vertus Partners

London

Contact email:

Job ref:

Startdate:

ASAP

Our client is a leading retail bank which is embarking on a multi-year strategic initiative to modernise their AI-powered customer service platform on their mobile and web applications for it’s retail banking customers, of which there are millions of users.

They are seeking a Product Manager with a passion for AI who can lead the design and roll-out of this feature, through setting the product strategy/roadmap, obtaining customer feedback and measuring product performance, whilst aligning to the bank’s overarching AI strategy.

The ideal candidate would have:

Solid experience in the design and delivery of complex, customer facing (B2C) products, ideally in retail banking mobile apps but other high volume/regulated industries also considered.
Experience in setting product strategy, roadmaps and frameworks to scale products for use by millions of customers.
Track record of delivery - ability to drive the project alongside the product design.
Passionate about AI, ideally with a track record of leveraging GenAI and Agentic AI to build customer-facing solutions.

The role can be based in either London, Manchester or Edinburgh, with the team working in office 1 day per week. Salaries on offer across locations:

By submitting your details you agree to our T&Cs

Software Engineer (ML Projects)

Starling Bank Limited

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.

Our Data Environment

Our Data teams are aligned to divisions covering the following Banking Services & Products, Customer Identity & Financial Crime and Data & ML Engineering. Our Data teams are excited about delivering meaningful and impactful insights to both the business and more importantly our customers. Hear from the team in our latest blogs or our case studies with Women in Tech.

About the Role

The ML Projects team is at the forefront of bringing cutting edge machine learning to the core of what we do at Starling. As a software engineer on the ML Projects team you will work with other engineers and data scientists to design, implement and maintain features that make use of machine learning models under the hood. This could mean anything from creating a brand new ML powered feature from scratch to seamlessly integrating a new model into our core banking platform. You might find yourself designing robust infrastructure and pipelines or discovering a completely new approach to a complex problem.

We believe in empowering our engineers to take ownership and drive solutions from ideation to launch. This means you’ll have the autonomy to shape your own path, identify challenges, and collaborate with colleagues across teams to deliver impactful solutions across a range of technologies.

We’re looking for a skilled software engineer who thrives on building and scaling complex systems. You should have a proven track record of delivering robust, multi technology applications within an enterprise environment.

We’re open minded when it comes to hiring and we care more about aptitude and attitude than specific qualifications. We are very open about how we deliver software. We believe in clean coding, simple solutions, automated testing and continuous deployment. If you care enough to find elegant solutions to difficult technical problems, we’d love to hear from you.

Tech Stack

Python
Java, which makes up the majority of our backend codebase
JavaScript, particularly React, which makes up our frontend
Postgres and SQL
AWS & GCP - we’re cloud native
TeamCity for CI / CD (lots of teams are releasing code 15-20 times per day!)
Terraform
Prometheus and Grafana

If you have built and deployed complex Python applications or have hands on experience with generative AI and LLMs, we would be especially keen to talk. We are moving fast in the AI space and want people who are excited to help us define what comes next.

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 - 45 mins with one of the team
Stage 2 - Take home challenge
Stage 3 - 90 mins technical interview with two team members
Stage 4 - 45 min final with two executives

Benefits

33 days holiday (including public holidays, which you can take when it works best for you)
An extra day’s holiday for your birthday
Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off
16 hours paid volunteering time a year
Salary sacrifice, company enhanced pension scheme
Life insurance at 4x your salary & group income protection
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
Incentives refer a friend scheme
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

About Us

You may be put off applying for a role because you don’t tick every box. Forget that! While we can’t accommodate every flexible working request, we’re always open to discussion. So, if you’re excited about working with us, but aren’t sure if you’re 100% there yet, get in touch anyway. We’re on a mission to radically reshape banking - and that starts with our brilliant team. Whatever came before, we’re proud to bring together people of all backgrounds and experiences who love working together to solve problems.

Equal Opportunity Employer

Starling Bank is an equal opportunity employer, and we’re proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Starling Bank are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law.

Partner AI Deployment Engineer - AWS

Location

London, UK

Employment Type

Full time

Department

Go To Market

About the Team

The AI Deployment Engineering (ADE) team ensures the safe and effective deployment of Generative AI applications for developers and enterprises. We serve as trusted technical advisors, helping customers and partners move from early experimentation to production-scale AI systems.

As a Partner AI Deployment Engineer focused on AWS, you will operate at the center of one of our most strategic partnerships, driving joint customer success and enabling AWS and partner ecosystems to scale adoption of OpenAI powered solutions.

About the Role

We are looking for a highly experienced technical leader to serve as the primary technical counterpart to AWS field leadership (Solutions Architects, Specialists, and Partner teams).

This role goes beyond individual deal support-you will shape strategy, define engagement models, and build repeatable systems that scale across AWS globally. You will work across pre and post sales, guiding complex enterprise customers from ideation to production while enabling AWS and partners to independently drive deployments.

You will combine deep technical expertise, strong judgment, and ecosystem leadership to maximize impact across a portfolio of high priority opportunities.

In This Role, You Will Strategic AWS Engagement & Influence

Serve as the senior technical counterpart to AWS field leadership, building trust and credibility across regions and teams.
Influence joint account strategy and technical direction for high priority opportunities.
Shape how OpenAI engages with AWS by defining engagement models, prioritization frameworks, and best practices.
Proactively identify and drive net new opportunities and high impact use cases across the AWS ecosystem.

Complex Deal Leadership & Execution

Lead technical strategy for large, ambiguous, and high stakes enterprise engagements.
Guide customers from early ideation through architecture design, prototyping, and production deployment.
Act as a technical decision maker and escalation point, de risking complex implementations.
Apply strong judgment to prioritize opportunities and allocate limited technical resources for maximum impact.

Solution Architecture & Hands On Building

Design and communicate end to end AI architectures leveraging OpenAI and AWS services.
Build and guide development of prototypes, POCs, and reference implementations to accelerate adoption.
Establish best practices for scalable, secure, and production ready GenAI systems.
Ensure solutions are designed for repeatability, extensibility, and partner led delivery.

Ecosystem Enablement & Scale

Enable AWS and partners through scalable technical motions (workshops, playbooks, reference architectures, demos).
Develop reusable solution patterns and assets that can be deployed independently by AWS teams and SIs.
Mentor and uplift partner technical teams, accelerating their path to self sufficiency.
Scale impact by working through GSIs, RSIs, and ISVs, rather than relying solely on direct engagement.

Cross Functional Leadership & Feedback

Partner closely with Alliances, Product, Engineering, GTM, and Enablement to align on strategy and execution.
Act as a bridge between field and product, delivering high signal insights to inform roadmap and prioritization.
Contribute to internal knowledge systems and help define standards, patterns, and playbooks for the ADE function.

We’re Looking for Someone With

8+ years of experience in solutions architecture, technical consulting, or equivalent customer facing roles.
Deep experience with AWS architecture and field engagement models.
Strong understanding of AI/ML systems and modern application architectures.
Proven track record of leading complex, enterprise scale technical engagements.
Experience supporting enterprise sales cycles as a senior technical lead.
Strong ability to translate ambiguous business problems into scalable technical solutions.
Demonstrated judgment in prioritization, tradeoffs, and resource allocation.
Experience influencing senior technical stakeholders and executive leadership.
Track record of driving production deployments and measurable customer outcomes.
Experience working within partner ecosystems (AWS, GSIs, ISVs).

You Might Thrive in This Role If You

Operate as a technical leader and systems thinker, not just an individual contributor.
Balance hands on building with strategic influence and scale.
Know when to go deep technically vs. enable others to execute.
Build trust quickly with engineers, architects, and executives alike.
Default to creating repeatable patterns, not one off solutions.
Are comfortable owning ambiguous, high visibility problem spaces.
Take a long term, ecosystem oriented view of impact.
Are motivated by driving customer and partner success at scale.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

VP Data & AI Products

Are you a product leader who can operate at the full depth of AI - from the data foundations that make intelligence possible, to the customer-facing products that make it real? Sidetrade is looking for a VP Data & AI Products to lead one of the most strategically important roles in the business.

Reporting to the CPO, with close alignment to the CTO organisation, this newly created role brings together two previously separate remits into a single, coherent leadership position. You will own Sidetrade’s AI product suite - including Aimie IQ, our AI intelligence product, and Agent Builder Studio, our no-code agentic workflow platform - while simultaneously owning the data and model foundations that power them: the Sidetrade Data Lake, our ML model portfolio, and our LLM fine-tuning strategy.

About Sidetrade:

Sidetrade is an AI company, listed on Euronext Growth, on a mission to revolutionize the way enterprises unlock value from their customers leveraging its Order-to-Cash Intelligence platform and its Data Lake.

We’re proud of our 38 nationalities and these diverse perspectives drive our innovation, one team culture and a customer-first mindset. Sidetrade is positioned as a Gartner Magic Quadrant Leader since 2022.

We value passion over perfection. So, if you’re eager to learn and bring great energy, we want to hear from you. Be you. Grow with us.

Curious about Sidetrade? Catch the Sidetrade Inside Out podcast.

What you’ll be doing:

Define and drive the roadmap for Aimie IQ, Sidetrade’s AI intelligence product, ensuring it delivers measurable, insight-driven value to enterprise finance teams across the full O2C lifecycle.
Lead the vision, roadmap, and go-to-market approach for Agent Builder Studio, enabling customers and partners to compose intelligent O2C workflows using agentic AI - without writing a line of code.
Own the product strategy for the Sidetrade Data Lake - defining how data assets are structured, enriched, governed, and surfaced across all O2C domains, driving continuous improvement across Gold, Silver, and Bronze data layers.
Own the roadmap for Sidetrade’s traditional ML models, including creation of new models, refactoring and scaling existing ones, and managing on-premises model development and deployment.
Define and execute Sidetrade’s LLM fine-tuning strategy, building proprietary O2C intelligence models grounded in customer feedback loops, rigorous evaluation frameworks, and domain-specific training data.
Define and own the suite of predictive KPIs, cash flow signals, risk scores, and behavioural insights that differentiate Sidetrade’s intelligence offering for enterprise finance leaders.
Collaborate with the CPO, Product Marketing, and Sales to shape how AI and data capabilities are packaged, positioned, and priced - contributing actively to commercialisation strategy alongside GTM and senior leadership.
Drive data governance frameworks, quality standards, and data mesh or lakehouse architectural decisions that ensure trusted, auditable intelligence at scale.
Translate complex data and AI topics into clear, tangible business outcomes - equipping customers, prospects, and internal stakeholders to understand and act on Sidetrade’s intelligence with confidence.
Represent Sidetrade as its Data & AI voice - hosting webinars, conducting media and analyst interviews, meeting executive stakeholders at customer and prospect sites, and speaking at industry events to shape the AI in O2C conversation.
Work in close partnership with the VP Platform and senior leadership to ensure AI and data products are built on sound foundations, aligned with company strategy, and coherent across the platform.

What you’ll bring:

Demonstrable experience owning both AI-facing products and data or ML platform capabilities in a B2B SaaS environment, with a track record of shipping at enterprise scale.
Deep understanding of agentic AI patterns, LLM orchestration, RAG, fine-tuning, and evaluation frameworks - and the ability to translate these into compelling, reliable product experiences.
Experience managing the full ML lifecycle - development, training, evaluation, deployment, and continuous improvement, including on-premises model development and deployment scenarios.
Strong understanding of modern data architecture patterns - Data Mesh, lakehouse, Bronze/Silver/Gold layers, data contracts - and the ability to make clear product decisions grounded in these foundations.
The ability to take deeply technical AI and data topics and turn them into compelling, jargon-free narratives that resonate with CFOs, finance leaders, and enterprise buyers - driving adoption and commercial confidence.
Comfortable and credible hosting webinars, conducting press and analyst interviews, presenting at conferences, and engaging C-suite stakeholders at customer and prospect sites.
A genuine passion for the latest AI innovations, with the discipline to continuously evaluate new techniques, tools, and research and bring the most relevant advances into Sidetrade’s roadmap.
Experience contributing to AI feature packaging and positioning strategy, working collaboratively with GTM, Marketing, and senior leadership to drive revenue and customer retention.
Proven ability to implement data governance frameworks, quality standards, and lineage practices in a complex, multi-domain environment.
A strong background building products for large enterprise customers, with familiarity in Order-to-Cash, accounts receivable, credit risk, or cash application workflows being a significant advantage.
Experience managing and developing product managers, with a coaching mindset, high standards for product craft, and proven ability to align Engineering, Data Science, and Design behind a shared vision.
Attractive location - office based in the heart of London/Birmingham city centre.
Hybrid work model - a flexible mix of in-office and remote days.
Great culture - active Social Club organizing regular team events and activities.
Health & wellness - medical coverage, life insurance, and other wellness programs.
Time off - competitive paid holidays plus public holidays.
Career growth & compensation - competitive salary, equal opportunities, learning & mentorship programs, and advancement support

Because when you thrive, we all succeed!

We’re committed to providing a welcoming and inclusive experience for every candidate. If you need any accommodation during the hiring process, just let us know.

Agencies

We only accept applications from invited agencies via our Workable portal. Unsolicited CVs sent to managers or HR won’t be subject to fees.

Senior Software Engineer - C++

Build software that powers unmanned systems already deployed in the real world.

At sees.ai , we’ve developed a system that is already being used to inspect critical national infrastructure - operating in live environments, not simulations.

Now, following a major contract with National Grid and recent investment, we’re scaling that system into a robust, production-ready platform.

We’re looking for a Senior C++ Software Engineer to help take a working system and evolve it into something reliable, scalable, and ready for wider deployment.

The Role

This is a systems-focused engineering role, not a narrow backend position.

You’ll work across the core software stack that powers our unmanned systems - contributing to everything from flight control and mission systems, through to simulation, connectivity, and operator interfaces.

You’ll be working on software that directly impacts how the system behaves in the field, with a short feedback loop between development and real world use.

This is an environment where:

Systems are already deployed and used in live operations
Issues are visible, tangible, and worth solving
Improvements can be tested and validated quickly

You’ll balance hands on development and debugging with longer term architectural thinking as the platform evolves.

What You’ll Be Doing

Developing and maintaining features across the unmanned systems software stack
Working on systems including:
- Flight and mission control
- Autonomy algorithms (e.g. path planning, obstacle avoidance)
- Pilot interfaces with 3D visualisation
- Connectivity between drone and control systems
- Simulation and testing environments
Debugging and improving system behaviour based on real world operational feedback
Supporting testing and deployment alongside integration and operations teams
Writing tests, documentation, and improving system reliability
Contributing to architecture and technical direction as we scale

What You’ll Bring

Strong experience in modern C++ (production systems)
Solid understanding of software design, architecture, and debugging complex systems
Interest in or exposure to robotics / autonomous systems, such as:
- Control systems
- Sensor fusion
- Path planning
Experience working in Linux environments
A pragmatic mindset - able to balance speed, reliability, and real world constraints

Nice to Have

Python (for tooling, testing, or analysis)
Experience with simulation environments
Networking or distributed systems knowledge
Familiarity with CMake or similar build systems
Experience with robotics, embedded systems, or real world autonomous platforms

How You’ll Work

Enjoys working across the full system, not just one layer
Wants to see their work used and tested in the real world
Takes ownership of problems and follows them through to resolution
Is comfortable with ambiguity and evolving systems
Thrives in a collaborative, fast-moving team
See your code deployed on operational systems within days
Work on problems where software meets the physical world
Be part of a high-performing, innovative and motivated team scaling a proven system into production
Contribute to technology with visible impact on the world’s energy security

sees.ai has a friendly, down to earth culture where people enjoy working together and take pride in what they build.

Teams collaborate closely across engineering, operations and commercial roles, sharing ideas openly and supporting each other to solve complex problems.

There is real excitement in working on cutting edge autonomous technology, but it is balanced by a thoughtful, responsible approach.

We’re building the operating system for large scale unmanned inspection operations - enabling systems to be controlled remotely and deployed reliably in real world environments.

Our technology is transforming how critical infrastructure is inspected, making it safer, more efficient, and scalable.

You’ll join at a pivotal stage, where a working system is being scaled into a robust platform, and where your work will directly shape how that happens.

London

Associate to VP About Morgan Stanley

Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services.

As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence, and strong team ethic. We can provide a superior foundation for building a professional career - a place for people to learn, to achieve and grow. A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture.

Role Overview

We are seeking a highly motivated and technically proficient Quantitative Strategist at the Associate/VP level to join our front office team supporting the Credit Derivatives Trading Desk. This role offers a unique opportunity to work directly with traders and sales professionals on a wide range of credit products, including Single Name CDS, Credit Indices, Index Options, Index Tranches, and Total Return Swaps (TRS). The strategist will play a critical role in enhancing pricing accuracy, managing risk, improving liquidity insights, and driving revenue growth through data driven strategies and analytics.

Responsibilities

Collaborate closely with traders and sales teams to support daily business activities. Respond to desk inquiries with timely and accurate analysis, contributing to trade idea generation and execution. Analyse, report, and monitor the performance of business and resource allocations, providing actionable insights and recommendations to senior management.
Design and implement relative value models and analytical tools to support trading decisions, risk management, P&L attribution, product pricing, and strategic market analysis. Stay abreast of regulatory changes and industry trends to ensure competitive positioning.
Leverage quantitative insights to monetise trading flows, identify revenue opportunities, and support business expansion initiatives across the credit derivatives space.
Partner with Technology teams to support trading system migration and development. Provide business domain expertise, guide feature design for analytics, validate numerical outputs, and participate in system testing.
Build, automate, and maintain centralised databases and daily reporting tools for desk level risk scenarios and market data analysis. Ensure data integrity and accessibility for decision making.

Requirements

Advanced degree (PhD, Master’s or equivalent) in a quantitative field such as mathematics, statistics, physics, computer science, or engineering. Relevant academic research experience is a plus.
Basic understanding of financial markets. Knowledge of fixed income instruments is preferred.
Solid knowledge of probability, statistics, machine learning, and optimisation.
Experience coding in Python. Knowledge of KDB and Java is a plus.
Comfortable working with large and sparse datasets.
Capable of formulating trading ideas and business requests into well defined problems and making incremental steps to implement solutions.
Experience developing, deploying, and maintaining models in production.
Ability to communicate complex technical details to a wide range of audiences, including stakeholders, traders, fellow strategists, and model validators.
Self motivation, rigour, and tenacity.

What you can expect from Morgan Stanley

At Morgan Stanley, we raise, manage and allocate capital for our clients - helping them reach their goals. We do it in a way that’s differentiated - and we’ve done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what’s best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.

Flexible Work

Interested in flexible working opportunities? Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to find out more.

Equal Opportunity Employer

Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.

EEO Statement

Our workforce reflects a broad cross section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences. For more information, please visit: opportunities/eeo.

Senior Solutions Architect - AI/BI

The Solutions Architect (AI/BI) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritized product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go-to-market team mandate, though individually will cover a specific, local region. Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product. They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives.

The Solutions Architect (AI/BI) is paired with an Account Executive aligned to a given product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that clients make an informed decision as they decide to adopt the product-line in a meaningful way.

The AI/BI product-line requires the following core technical competencies:

Experience in designing and delivering cloud-based Data Visualisation and Analytics Solutions in a client or customer environment
Ability to advise customers in lakehouse analytics architecture: Prepare Databricks stakeholders for internal conversations and communicate directly, including anticipating blockers and address them before they become an issue
Certification and/or demonstrated competence in data visualisation and analytics systems along with one of Azure, AWS or GCP cloud providers
Demonstrated competence in the Lakehouse architecture including hands-on experience with Apache Spark, Python and SQL

The impact you will have

Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory.
As a trusted advisor,serve as an expert Solutions Architect and “champion,” building technical credibility with stakeholders to drive product adoption and vision.
Enable clients at scale through workshops and developing customer-facing collateral that helps increase technical knowledge and thought leadership.
Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams
Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical environments.

Competencies & Responsibilities

6+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level data strategy and product adoption.
Proven ability to co-plan large territories with Account Executives and operate in a highly coordinated, cross-functional effort across GTM and R&D teams.
Experience collaborating with Global System Integrators (GSIs) and third-party consulting organizations to drive customer outcomes.
Proficient in programming, debugging, and problem-solving using SQL and Python.
Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP).
Broad experience (in two or more) and understanding across the fields of data engineering, data warehousing, AI, ML, governance, transactional systems, app development, and streaming.
Undergraduate degree (or higher) in a technical field such as Computer Science, Applied Mathematics, Engineering or similar.
A track record of driving complex projects to completion in fast-paced, customer-facing environments.

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer’s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Software Engineer (IC-5)

King’s Cross, United Kingdom Posted on 03/18/2026

Our client is looking for a Software Engineer hybrid role at Kings Cross, London.

Duration - 6 months (possibility for extension)

Our client is seeking Research Engineers to join Fundamental AI Research (FAIR). We are committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in solving systems challenges to sustainably accelerate our reach to human-level intelligence. Candidates will have an opportunity to make fundamental advances in systems and apply their ideas at an unprecedented scale.

Responsibilities

Carry out cutting edge research to advance the science and technology of machine learning systems.
Design methods, tools, and infrastructure to push forward the state of the art in large language models.
Collaborate with researchers and cross functional partners including communicating research plans, progress, and results.
Suggest, collect and synthesize requirements and create an effective feature roadmap.
Code deliverables in tandem with the engineering team.
Publish research results and contribute to research that impacts Meta product development.

Requirements

2+ years of hands on experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or artificial intelligence
Experience with developing machine learning models at scale, such as programmatically querying LLMs and LLM post training.
Programming experience in Python and hands on experience with frameworks such as PyTorch.
Experience writing software and executing complex experiments involving large AI models and datasets.
Proven experience to translate insights into business recommendations
Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

Preferred Qualifications

Direct experience in generative AI and LLM research
PhD degree or research focused Master’s degree in ML areas
Healthcare contribution and inclusion in company pension scheme
Work laptop and phone
25 days annual leave (pro rata) plus paid bank holidays
Expanding workforce with potential for career progression for top performers

Software Engineer (IC-4)

King’s Cross, United Kingdom Posted on 03/18/2026

Our client is looking for a Software Engineer hybrid role at Kings Cross, London.

Duration - 6 months (possibility for extension)

Responsibilities

Carry out cutting edge research to advance the science and technology of machine learning systems.
Design methods, tools, and infrastructure to push forward the state of the art in large language models.
Collaborate with researchers and cross functional partners including communicating research plans, progress, and results.
Suggest, collect and synthesize requirements and create an effective feature roadmap.
Code deliverables in tandem with the engineering team.
Publish research results and contribute to research that impacts Meta product development.

Requirements

2+ years of hands on experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or artificial intelligence
Experience with developing machine learning models at scale, such as programmatically querying LLMs and LLM post training.
Programming experience in Python and hands on experience with frameworks such as PyTorch.
Experience writing software and executing complex experiments involving large AI models and datasets.
Proven experience to translate insights into business recommendations
Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

Preferred Qualifications

Direct experience in generative AI and LLM research
PhD degree or research focused Master’s degree in ML areas
Healthcare contribution and inclusion in company pension scheme
Work laptop and phone
25 days annual leave (pro rata) plus paid bank holidays
Expanding workforce with potential for career progression for top performers

LMAX is looking for a C++ and Python developer to join our middle-office team. This team works closely with the infrastructure, research and treasury teams. In this position you can expect to take a significant role in the development of our trade reconciliation, back-testing framework and trading monitoring. You will be working with the team to design and implement our trading system with a predominant focus on data engineering. We are looking for developers who are confident in their ability to develop software, both with others and on their own.

A finance or trading background is not required.

What you will be working on

Our code base is currently split between C++, a language which the infrastructure team works on, and Python, which is used by the research team for analysis and automation. This role is part of a new team to help bridge the gap between the two.

Performance

Working on financial data brings some interesting technical challenges in the area of throughput. Here you can expect to focus more directly on software performance than at other organisations, while still striving for easily maintainable code. You will be digging deep into our system, understanding how it works and where it can be improved.

Testing

We rely heavily on validating our system using our extensive test suites. We test at all levels of our system from unit testing to full end-to-end tests in which the entire system is launched and tested in a simulated environment. All tests are run every 15 minutes on our CI to give us a fast and reliable feedback cycle. There is no waiting for overnight test suites here. As a developer at LMAX you will be expected

Responsibilities

Produce clear, well-structured and fully tested C++ and Python code
A focus on writing high throughput software
Use pair programming to increase the spread of knowledge and avoid siloing
Continuously design and implement new features that improve the safety, performance and usability of our software
Write interface code that spans C++ and Python (pybind)

Requirements:

C++ development, modern C++ on a Linux/UNIX environment
Automated C++ and Python Testing
Ability to understand business requirements and develop systems to meet them
Ability to design well documented, simple and elegant systems that are easily maintainable
Ability to work independently and with little guidance
A finance and/or trading background is not required
Test driven development, with experience in testing at different levels of the system (unit, integration and acceptance tests). For C++ we use Catch2 and for python we use pytest
Experience with pybind/nanobind
Airflow DAGs or equivalent workflow orchestration
Polars for high-performance data processing
Knowledge of Websocket, TCP/IP networking
Science or Maths related degree
25 days of holiday
Bonus
Pension contribution
Private medical, dental, and vision coverage
Life assurance
Critical illness cover
Wellness contribution program with access to ClassPass

Lead Software Engineer - AI/ML Data Platforms - AI Engineer - Python

LONDON, United Kingdom

Job Information

Job Identification
Job Category Software Engineering
Business Unit Commercial & Investment Bank
Posting Date 03/20/2026, 01:34 PM
Locations 25 Bank Street, Canary Wharf, London, Greater London, E14 5JP, GB
Job Schedule Full time
Job Shift Day

Job Description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what’s possible.

As a Lead Software Engineer at JPMorgan Chase within the AI/ML Data Platforms business, youare an integral part of a team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. In this context, your primary clients will be AI Research (AIR) and the Machine learning Centre of Excellence (MLCoE)

Job responsibilities

Works closely with Data Scientists and AI Researchers to advance experiments into more robust, scalable, highly optimized production-grade apps.
Develops and writes software applications for AI/ML platforms as well as building Generative AI based applications including Agents.
Utilizes creative problem-solving skills to design, develop, and troubleshoot technical solutions, thinking beyond conventional approaches to innovate and resolve complex technical challenges.
Proactively identifies opportunities to streamline, eliminate, or automate the remediation of recurring issues and developer challenges, enhancing the operational efficiency and excellence of software applications and systems.
Leads evaluation sessions (cross-team) to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
Mentors engineer within the team and drive practice across junior engineers in the team, as well as researchers / data scientists as they prototype solutions
Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts with applied Full stack development experience.
Practical experience in Infrastructure as Code development, ideally using Terraform.
Hands-on practical experience in system design, application development, testing, and ensuring operational stability.
Advanced proficiency in one or more programming languages, with a strong focus on Python.
Expertise in automation and continuous integration, delivery, and testing (CI/CD/CT) methods.
Comprehensive understanding of the Software Development Life Cycle (SDLC) and Model Development Life Cycle (MDLC).
Deep understanding of agile methodologies and basic proficiency in architectural frameworks.
Demonstrated proficiency in platform development and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.).

Preferred qualifications, capabilities, and skills

Demonstrable mastery of AI tools to enhance productivity and efficiency in daily tasks.
Self-motivated and proactive, with a strong ability to identify issues and challenge the status quo.
Demonstrates initiative in learning and adapting to new technologies and methodologies.
Experience in / exposure to a major business facing integrated application environment (e.g. risk, trading) and working with business facing developers
Proven problem-solving skills with a focus on innovation and continuous improvement.
Excellent communication and collaboration skills to work effectively within cross-functional teams.

About Us

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit ourFAQs for more information about requesting an accommodation.

About the Team

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.

Senior Javascript Engineer

About the role

You’ll be working on Fabric, our digital publishing platform, to design and build scalable APIs and AI powered text, audio and video content services, that integrate internal systems with third party platforms.

Immerse yourself in our technical ecosystem
Develop and test new features, and support existing ones
Build reusable code, packages and libraries for future use
Optimise code for maximum speed and scalability against an agreed performance budget
Use testing frameworks to ensure automated test coverage for platform functionality
Collaborate with other team members Delivery Manager and Product Owner to help plan new functionality or major enhancements
Write and improve technical documentation when necessary

Qualifications

Working with Node/TypeScript within large-scale projects
Distributed systems, scalability and cloud architecture (preferably AWS)
Building and working with mixed data formats (structured and unstructured) and storage (e.g. blob storage, MySQL, Document Storage)
Building and integrating with RAG pipelines
Building and maintaining multi-step workflows and processes orchestrated by AI
LLM integration patterns
Implementing AI solutions using AWS, or an equivalent, such as:
- Model access and orchestration e.g. Amazon Bedrock
- Vector and semantic search e.g. Amazon OpenSearch

Benefits

A relaxed working environment with regular socials including a summer festival
Immediate Community webinars, well-being initiatives and Mental Health First aiders
25 days holiday plus a day for your birthday. Our offices will be closed between Christmas and New Year’s which are in addition to your annual entitlement
Tailored training and development through our Love Learning platform
A progressive and transparent culture with clear career progression
Flexible / hybrid working plus early finish Fridays
Cycle to work scheme
Enhanced Family Policies including paternity, adoption and surrogacy leave. We also provide a pregnancy loss, fertility, and carers policy
Competitive pension plans and Life Assurance
A newly renovated modern office with lots of collaborative spaces

People are at the heart of our business and creating a diverse and inclusive working environment is extremely important to us. Immediate is an equal opportunities employer. We’ll never treat anyone less favourably because of their sex, gender reassignment, pregnancy and maternity, marital/civil partnerships, sexual orientation, race, nationality, ethnic origin, age, religion or belief or disability. We’re also committed to supporting applications from those who are returning to work following a career break, maternity leave or caring responsibilities.

About hyperexponential (hx)

At hyperexponential, we’re building the AI powered platform that enables the world’s most critical decisions in a $7 trillion industry, which risks to take, and how to price them. These are the decisions that shape real world outcomes: whether rockets successfully launch into space, autonomous vehicles make it to market, or communities recover after major storms.

Until now, insurance has been making billion dollar decisions using outdated tools. We’re changing that. Our platform brings together data, AI, and human expertise to give insurers the fastest path from submission to decision - helping them move faster, act smarter, and take on more risk with confidence.

Backed by a16z, Highland Europe, and Battery Ventures, we’re scaling globally - already trusted by nearly 50 of the world’s largest insurers, with zero churn and billions in premiums flowing through hx.

What began as a single product in one market has rapidly evolved into a multi product, multi territory platform powering every stage of pricing and underwriting. AI is at the core of what we do - from building the world’s first domain specific AI peer programmer for insurance to shaping agentic workflows that reinvent how this industry operates.

What makes hx different is the people who build it. Here, impact isn’t tied to title or tenure; it’s defined by the challenges you take on and the discipline you bring.

About the AI Platform team

At hx, AI agents are becoming embedded across every team and product. The AI Platform team exists to make that happen safely and at scale. We own the shared building blocks that enable any technology team at hx to build, ship, and operate AI agents quickly, safely, and consistently.

We build the platform, not the agents. The reusable foundations that agent building teams depend on are: observability for end to end tracing, cost tracking, and visibility across all AI usage; gateways for unified LLM access and centralised tool routing; governance for agent identity, authorisation, cost controls, and audit logging; and developer experience through SDKs, documentation, and patterns that make spinning up a production grade agent fast and consistent.

We are a small, high ownership team that moves fast and builds for adoption. We measure success not by what we ship, but by what other teams can build because of what we ship.

What you’ll be doing

Observability & Evaluation: Building and evolving the platform that gives hx end to end visibility into AI agent behaviour and quality, including tracing, cost tracking, usage dashboards, and shared evaluation infrastructure that helps teams measure and improve agent performance.
Composition: Designing and operating the infrastructure that connects agents to LLMs and tools - unified proxies, centralised tool routing, discovery, and access governance so agent building teams don’t have to solve these problems individually.
Governance: Defining and implementing the identity, authorisation, and policy layer for AI agents - scoped credentials, per tool permissions, audit logging, cost controls, and trust boundary patterns that let agents operate safely as they scale.
Developer experience: Shaping the tools, SDKs, documentation, and patterns that make it fast for any team to go from zero to a production grade agent on the platform.
Adoption: Driving adoption of shared platform services across technology teams, replacing bespoke per agent integrations with consistent, well documented capabilities. Measuring impact and iterating based on what teams actually need.

What you’ll need to have done

Built and operated platform infrastructure used by multiple teams - API gateways, proxies, observability systems, CI/CD pipelines, cloud infrastructure, or developer platforms where adoption and reliability were your responsibility.
Delivered developer facing tools, SDKs, or APIs that other engineers relied on daily, with a strong focus on usability, documentation, and developer experience.
Worked with modern AI infrastructure - LLM integrations, agent frameworks, or AI related tooling. You don’t need to be an ML researcher, but you should have hands on experience building with AI in production, meaningful side projects, or open source, and be comfortable navigating the AI tooling landscape.
Operated systems with governance, security, or compliance requirements - identity models, access control, audit logging, or similar concerns where getting it wrong has real consequences.
Successfully driven adoption of shared services across engineering teams, replacing fragmented, team specific solutions with consistent platform capabilities, and measuring the impact.
Taken full ownership of initiatives end to end - from scoping and planning through to building, driving adoption, and validating success with data. Not just shipping code, but ensuring it lands.

We’re hiring at both mid (IC2) and senior (IC3) levels. If you’ve done some but not all of the above, we’d still like to hear from you.

You’re unlikely to thrive here if

You wait for detailed specifications before acting. This team operates in a fast moving, ambiguous space. We scope problems, make decisions, and iterate. If you need everything defined upfront, you’ll find it frustrating.
You prefer to work in a silo. We are a platform team. Our work only succeeds when other teams adopt it. That means constant collaboration, stakeholder engagement, and genuine interest in making other engineers more productive.
You see shipping code as the finish line. Here, delivery means adoption. You’ll be expected to own the full lifecycle - build it, document it, drive adoption, measure impact, and iterate.
You’re not energized by ownership and visibility. Every member of this team leads initiatives, communicates progress transparently, and represents their work to stakeholders. If you prefer to stay heads down and let others handle the context setting, this isn’t the right fit.

Compensation

At hx, we’re committed to salary transparency. You’ll always have clarity on pay early in the process - our Talent Partner will share details with you during initial conversations - and we’re working towards publishing salary information for all roles globally.

Because we’re building at the intersection of technology/SaaS and insurance, our roles don’t always map neatly onto traditional benchmarks. Our approach is to design compensation that’s competitive in the market, fair across teams, and aligned with the impact our people make.

Equity: We offer equity across all roles at hx, making it a significant component of total compensation.

Benefits

£5,000 training and conference budget for individual and group development.
25 days of holiday plus 8 bank holidays (33 days total).
Company pension scheme via Penfold.
Mental health support and therapy via Spectrum.life.
Individual wellbeing allowance via Juno.
Private healthcare insurance through AXA.
Income protection and Life Insurance.
Cycle to Work Scheme.

Additional perks

Top spec equipment (laptop, screens, adjustable desks, etc.).
Regular remote and in person hackathons, lunch and learns, socials, and game nights.
Team breakfasts and lunches, snacks, drinks fridge, and a fun office at The Ministry.
Exceptional opportunities for personal development and growth as we build something remarkable together.

Our commitment to Diversity

hxers are at the centre of everything we build. We know that progress depends on diverse perspectives, and we are committed to creating an environment where everyone can thrive, grow, and make an impact.

We recognize there is always more to do, and we take responsibility for shaping a workplace that is not only diverse but genuinely inclusive.

Diversity is not just the right thing to do, it is key to solving the complex challenges we choose to take on. By welcoming people from all backgrounds and experiences, we strengthen our ability to question assumptions, push boundaries, and design solutions that endure.

Senior AI Platform Engineer

About hyperexponential (hx)

What makes hx different is the people who build it. Here, impact isn’t tied to title or tenure; it’s defined by the challenges you take on and the discipline you bring.

About the AI Platform team

We are a small, high ownership team that moves fast and builds for adoption. We measure success not by what we ship, but by what other teams can build because of what we ship.

What you’ll be doing

Observability & Evaluation: Building and evolving the platform that gives hx end to end visibility into AI agent behaviour and quality, including tracing, cost tracking, usage dashboards, and shared evaluation infrastructure that helps teams measure and improve agent performance.
Composition: Designing and operating the infrastructure that connects agents to LLMs and tools - unified proxies, centralised tool routing, discovery, and access governance so agent building teams don’t have to solve these problems individually.
Governance: Defining and implementing the identity, authorisation, and policy layer for AI agents - scoped credentials, per tool permissions, audit logging, cost controls, and trust boundary patterns that let agents operate safely as they scale.
Developer experience: Shaping the tools, SDKs, documentation, and patterns that make it fast for any team to go from zero to a production grade agent on the platform.
Adoption: Driving adoption of shared platform services across technology teams, replacing bespoke per agent integrations with consistent, well documented capabilities. Measuring impact and iterating based on what teams actually need.

What you’ll need to have done

Built and operated platform infrastructure used by multiple teams - API gateways, proxies, observability systems, CI/CD pipelines, cloud infrastructure, or developer platforms where adoption and reliability were your responsibility.
Delivered developer facing tools, SDKs, or APIs that other engineers relied on daily, with a strong focus on usability, documentation, and developer experience.
Worked with modern AI infrastructure - LLM integrations, agent frameworks, or AI related tooling. You don’t need to be an ML researcher, but you should have hands on experience building with AI in production, meaningful side projects, or open source, and be comfortable navigating the AI tooling landscape.
Operated systems with governance, security, or compliance requirements - identity models, access control, audit logging, or similar concerns where getting it wrong has real consequences.
Successfully driven adoption of shared services across engineering teams, replacing fragmented, team specific solutions with consistent platform capabilities, and measuring the impact.
Taken full ownership of initiatives end to end - from scoping and planning through to building, driving adoption, and validating success with data. Not just shipping code, but ensuring it lands.

We’re hiring at both mid (IC2) and senior (IC3) levels. If you’ve done some but not all of the above, we’d still like to hear from you.

You’re unlikely to thrive here if

You wait for detailed specifications before acting. This team operates in a fast moving, ambiguous space. We scope problems, make decisions, and iterate. If you need everything defined upfront, you’ll find it frustrating.
You prefer to work in a silo. We are a platform team. Our work only succeeds when other teams adopt it. That means constant collaboration, stakeholder engagement, and genuine interest in making other engineers more productive.
You see shipping code as the finish line. Here, delivery means adoption. You’ll be expected to own the full lifecycle - build it, document it, drive adoption, measure impact, and iterate.
You’re not energized by ownership and visibility. Every member of this team leads initiatives, communicates progress transparently, and represents their work to stakeholders. If you prefer to stay heads down and let others handle the context setting, this isn’t the right fit.

Compensation

Equity: We offer equity across all roles at hx, making it a significant component of total compensation.

Benefits

£5,000 training and conference budget for individual and group development.
25 days of holiday plus 8 bank holidays (33 days total).
Company pension scheme via Penfold.
Mental health support and therapy via Spectrum.life.
Individual wellbeing allowance via Juno.
Private healthcare insurance through AXA.
Income protection and Life Insurance.
Cycle to Work Scheme.

Additional perks

Top spec equipment (laptop, screens, adjustable desks, etc.).
Regular remote and in person hackathons, lunch and learns, socials, and game nights.
Team breakfasts and lunches, snacks, drinks fridge, and a fun office at The Ministry.
Exceptional opportunities for personal development and growth as we build something remarkable together.

Our commitment to Diversity

We recognize there is always more to do, and we take responsibility for shaping a workplace that is not only diverse but genuinely inclusive.

Senior Java Developer - Multithreading/Caching

Senior Java Developer - Multithreading/caching - sought by leading investment bank based in London - Contract

inside IR35 - umbrella

Key Responsibilities

Develop and maintain high performance backend services for complex data processing workloads.
Design scalable architectures for large volume calculations and data pipelines.
Work closely with cross functional teams to define and deliver new features.
Ensure optimal performance, quality, and reliability across backend services.
Diagnose and resolve performance bottlenecks and defects.
Follow best practice engineering standards, design patterns, and architectural principles.
Apply Test Driven Development (TDD) in day to day development.
Use static code analysis tools such as SonarQube to maintain clean, high quality code.
Work efficiently with SQL, data joins, and large/complex datasets.
Leverage AI tooling to enhance productivity in coding and system design.

Required Skills & Experience

8+ years’ experience in Java backend development (Java 17+).
Degree in Computer Science, Software Engineering, or related field.
Strong expertise in Java + Spring Boot / Spring Data / Spring Cloud.
Excellent SQL knowledge and experience optimising queries and data models.
Strong understanding of in memory data loading and efficient join strategies.
Deep familiarity with Java tooling (Maven/Gradle, testing frameworks, dependency management).
Proven experience building data processing or data intensive applications.
Solid understanding of modern architectural patterns (Microservices, Event Driven Architecture).
Strong TDD skills and experience using static code analysis (e.g., SonarQube).
Clear communication skills with the ability to explain technical concepts to varied audiences.

Nice to Have

Cloud experience: AWS / Azure / GCP.
Containerisation: Docker, Kubernetes.
Distributed processing: Apache Spark / Flink.

Please apply within for further details - Matthew Holmes, Harvey Nash

To From Record Yes No Always use these settings

Senior Data & Insight Analyst

Location: London (Greenford, West London OR Stratford, East London), or Manchester, or Leeds campus

Type of Contract: Permanent

Working Pattern: Full Time - 40hrs Per Week

Salary Information: Competitive

GBS is a higher education provider offering a range of sector-relevant courses across ten campuses in London, Birmingham, Leeds and Manchester. Working in partnership with several of the UK’s leading higher education providers, we deliver vocational, undergraduate and postgraduate programmes in finance, accounting, business, construction, tourism, healthcare, and more.

Our Vision: Changing lives through education.

ROLE PURPOSE

As a Senior Analyst you will report to the Data and Business Intelligence Manager. The Data and Information team is responsible for centralised reporting at Global Banking School. The team supports internal and external reporting, providing data and analytics to senior management to aid business decision making. It also supports business operations in daily tasks and KPI reporting. As Senior Data & Insight Analyst, you’ll play a crucial role in delivering high quality data and insights that support the performance and objectives of GBS. You will provide timely and accurate reports to the business ensuring compliance with regulatory requirements.

ROLE AND RESPONSIBILITIES

Play a significant role the data team in managing new data projects from end-to-end, representing the data team in gathering requirements through to developing and implementing new reports.
Engage with stakeholders to validate their requirements, review policies/procedures and present solution options.
Challenge the “Status Quo” continually seeking more efficient ways to drive meaningful actions and improvements.
Extract, prepare and collate raw data from multiple internal and external sources and analyse, interpret and edit data to produce customised reports.
Manage and develop the delivery of interactive products including interactive dashboards, analytical tools, as well as statistical analysis and insight.
Lead the team to design and implement surveys across the organisation and complete the analysis of survey outcomes.
Responsible for monitoring data quality, data integrity and data governance.
Develop reports for internal and external audiences using appropriate reporting tools, including Excel and Power BI.
Work with and support colleagues across the organisation, building new & improving the existing data dashboards, graphs and visualisations.
Maintain a good understanding of relevant policy and legislation in relation to information governance, security, and compliance.

ESSENTIAL SKILLS AND EXPERIENCE

Detailed knowledge of statistical techniques and data modelling.
Profound understanding of relational database architecture and querying methodologies.
Experienced of handling and amalgamating diverse data-sets from various sources.
Demonstrated expertise in T-SQL for data querying and transformation.
Confidence in building relationships with internal and external stakeholders, with the ability to communicate complex data capability in a way which fully engages them in the services the Data and Information team provide.
Extensive experience in creating reports using Power BI and proficiency in utilising DAX.
Experience of coaching and mentoring, with a willingness to share knowledge and skills.
Experience working in Higher Education.
Strong knowledge of Python.
Strong knowledge of Machine Learning.

WHAT WE OFFER

25 days annual leave, plus 8 public holidays.
1-day extra leave per year of service, up to a maximum of 5 days.
Flexible Benefits: Cycle to Work, Workplace Nursery, Techscheme and much more.
discounts platform, wellbeing centre and much more.
Reward and recognition programme.
£500 award employee referral scheme.
Discretionary annual performance bonus.

GBS is committed to equality, diversity and inclusion and providing a workplace free from discrimination or harassment. We welcome applications from all backgrounds and communities. We take our core values seriously and work hard to create an environment where everyone feels welcomed.

Lead AI Engineer (Principal Consultant)
Location: London (Hybrid) |
Practice Area: Technology & Engineering
Type: Permanent

Empower the next frontier of AI with Capco. Shape, build, and deliver future-ready generative systems.

The Role
We’re looking for a Lead AI Engineer (Principal Consultant) to join our Technology Delivery Team. You’ll combine your expertise in AI/ML engineering and software development to build and deploy cutting-edge generative AI and agentic systems across the financial services sector. As a hands-on leader, you’ll architect AI solutions, embed them within enterprise environments, and drive impactful outcomes through advanced engineering, scalable pipelines, and deep cross-functional collaboration.

What You’ll Do

Architect and develop autonomous AI systems integrating multi-modal LLMs (text, image, audio, video)
Design agentic workflows enabling AI agents to interact with data sources and APIs using prompt engineering and RAG
Fine-tune, optimize, and deploy large language and multi-modal models with a focus on performance and latency
Build scalable MLOps pipelines and full-stack applications to support robust, production-grade AI deployments
Guide multidisciplinary teams and clients through strategic decisions in AI engineering and GenAI adoption

What We’re Looking For

Bachelor’s degree or higher in Computer Science, AI, or related STEM fields
Hands-on experience deploying LLMs and multi-modal models at scale
Strong engineering background in Python with proven Back End and API development skills
Solid understanding of scalable MLOps, observability, and cloud-native AI deployment
Excellent communication, problem-solving, and project management skills in agile environments

Bonus Points For

Experience with agentic frameworks (eg, LangChain, LlamaIndex)
Experience in deep learning frameworks and Front End development
Familiarity with Langfuse, Langsmith, or other LLM observability tools
Understanding of Model Context Protocol and bias/hallucination mitigation techniques
Previous success in integrating GenAI solutions into enterprise-scale systems

Why Join Capco

Deliver high-impact technology solutions for Tier 1 financial institutions
Work in a collaborative, flat, and entrepreneurial consulting culture
Access continuous learning, training, and industry certifications
Be part of a team shaping the future of digital financial services
Help shape the future of digital transformation across FS & Energy.

Benefits
We offer a competitive, people-first benefits package designed to support every aspect of your life:

Core Benefits: Discretionary bonus, competitive pension, health insurance, life insurance and critical illness cover.
Mental Health: Easy access to CareFirst, Unmind, Aviva consultations, and in-house first aiders.
Family-Friendly: Maternity, adoption, shared parental leave, plus paid leave for sickness, pregnancy loss, fertility treatment, menopause, and bereavement.
Family Care: 8 complimentary backup care sessions for emergency childcare or elder care.
Holiday Flexibility: 5 weeks of annual leave with the option to buy or sell holiday days based on your needs.
Continuous Learning: Your growth, your way - minimum 40 Hours of Training Annually. Take your pick; workshops, certifications, E-learning. Also, Business Coach assigned from Day One: Get one-on-one guidance to fast-track your goals and accelerate your development.
Healthcare Access: Convenient online GP services.
Extra Perks: Gympass (Wellhub), travel insurance, Tastecard, season ticket loans, Cycle to Work, and dental insurance.

Inclusion at Capco
We’re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know - we’ll be happy to help. We value each person’s unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our culture encourages individuality and collaboration - a mindset that shapes how we work with clients and each other every day.

Join Barclays as a Python Developer, where you will be responsible for designing and building production-grade APIs and backend services that support scalable, high-performance data platforms. You will develop and maintain client-facing SDKs, implement efficient caching strategies, and optimise systems for high throughput and low latency.

To be successful in this role, you should have:

Strong Python engineering skills building production grade APIs and backend services (REST/async patterns, testing, packaging).
Experience designing and maintaining client facing SDKs (versioning, backward compatibility, documentation, developer usability).
Hands on experience building and operating caching layers for performance and scale (e.g. Redis/Memcached; TTLs, eviction, consistency).

Additional highly valued skills include:

Experience with high throughput, low latency systems and API performance optimisation (profiling, concurrency, async IO).
Familiarity with service reliability practices (observability, metrics, error handling, retries, graceful degradation).
Experience with cloud native deployment and automation (containers, CI/CD, Infrastructure as Code).
Experience working with kdb+ stack

This role is based in London.

Purpose of the role

To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues.

Accountabilities

Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance.
Cross functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives.
Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing.
Stay informed of industry technology trends and innovations and actively contribute to the organization’s technology communities to foster a culture of technical excellence and growth.
Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions.
Implementation of effective unit testing practices to ensure proper code design, readability, and reliability.

AI Agentic Specialist

London, United Kingdom; Remote, United Kingdom

Baringa is a global consulting firm that partners with leaders to drive change and create value. With deep industry expertise, and enabled by advanced technology, the firm helps clients to deliver with greater confidence and certainty. With over 2,000 people across the UK, Europe, North America, Asia and Australia, the firm combines global insight with local understanding.

The firm works across energy and resources, financial services, government and public sector, consumer products and retail, pharmaceuticals and life sciences, manufacturing, and technology, media and telecoms, with capabilities spanning strategy, transformation and operational excellence - all powered by advanced technology, data, AI and digital innovation.

Clients value Baringa’s collaborative approach and the way its teams integrate seamlessly - all working with a shared understanding of what matters most. The firm is known for its kind, curious experts who listen closely and care deeply about client success as they help clients transform energy markets, modernise financial platforms, expand telecoms and digital networks through advanced data analytics, enable digital services in government, and unlock growth in consumer sectors.

Certified as a Great Place to Work around the world, Baringa has been recognised by the Financial Times in 22 categories of its UK Leading Management Consultants rankings, and by Forbes for four consecutive years as one of the World’s Best Management Consulting Firms.

Our Technology & Cyber practice are looking for an AI Agentic Specialist (Copilot Studio/Power Platform) to join the team. Baringa’s TeCy Group (Technology & Cyber) is a global function supporting the firm as it enters new markets. We’re on a mission to develop great technology products and deliver great services. We’ve installed a new operating system for ourselves and rebooted what was a corporate IT department to an in house technology company - transforming the way we work and opening the way to serve Baringa’s clients directly. We’re working on sustainability, committed to Net Zero in our supply chain and services. We’re keeping our firm safe: protecting our data and our reputation. We are embarking upon and will be the driving force behind a new 3 Year digital strategy for the firm.

We have a big job in Baringa Technology & Cyber group. So much to build on, so much to progress, so much to deliver, so much to play for. We’re going to do it. All of it and more. We have the support to drive change. We have a diverse group of 90 amazing technology & cyber professionals. We have the belief. We are going to do great things.

AI Agentic Specialist (Copilot Studio/Power Platform) We are looking for an AI Agentic Specialist to lead the design, build, and enablement of AI agents across Baringa. This role combines strong engineering capability with deep expertise in the Microsoft Power Platform, particularly Copilot Studio.

You will be a hands on expert who builds and administers agents, supports others doing the same, and helps bridge the gap between end user built agents and more advanced, Azure backed solutions.

Key responsibilities Agent builds and architecture

Design, build, test and implement AI agents using Copilot Studio/Power Platform.
Design agent solutions as part of end to end workflows, ensuring agents operate cohesively rather than as isolated implementations.
Define patterns for multi agent orchestration, where specialised agents collaborate to deliver outcomes across workflows.
Define when to use low code agent approaches versus engineered solutions.
Integrate agents with Microsoft 365, Dataverse, APIs and Azure services.
Maintain agent quality, performance, security and compliance.
Act as the firm’s Copilot Studio subject matter expert.
Establish best practices, patterns and guardrails for agent development.
Support troubleshooting, configuration and lifecycle management of agents.
Establish reusable patterns for agent composition, enabling consistent behaviour and interoperability across multiple agents.

Bridging low code and engineered AI

Work with engineers to connect Copilot Studio agents to Azure hosted services.
Support the progression from prototype agents to scalable enterprise solutions.
Advise on trade offs between Copilot Studio, Azure Foundry and custom agent builds.
Support the evolution from single agent solutions to orchestrated, multi agent architectures integrated across enterprise workflows.

Enablement and support

Be a go to expert for AI and agent build questions.
Support colleagues building agents through reviews, guidance and problem solving.
Provide expertise on Copilot, Copilot Studio and GitHub Copilot (if required).
Guide teams to design agent solutions that align to broader workflow and experience patterns, avoiding fragmentation and duplication.

Training and adoption

Deliver training, workshops and hands on sessions when required.
Create practical guidance to improve the quality of agent builds.
Support adoption of AI tooling across technical and non technical users.

Governance and Responsible AI

Ensure agent solutions align with governance, security and Responsible AI principles.
Support safe deployment and ongoing management of AI agents.

Required skills and experience

Deep, hands on experience with the Microsoft Power Platform, especially Copilot Studio.
Proven experience building AI agents, with examples to showcase.
Experience administering and supporting agent solutions.
Strong understanding of agent behaviour, orchestration and AI limitations.
Ability to explain complex concepts clearly and practically.
Experience training or enabling others.
Experience integrating agents with Azure services or custom APIs.
Familiarity with Azure OpenAI, Functions or Logic Apps.
Experience with GitHub Copilot.
Consulting or professional services experience.

What a career at Baringa will give you Putting People First. Baringa is a People First company and wellbeing is at the forefront of our culture. We recognise the importance of work life balance and flexible working and provide our staff amazing benefits. Some of these benefits include:

Generous Annual Leave Policy: We recognise everyone needs a well deserved break. We provide our employees with 5 weeks of annual leave, fully available at the start of each year. In addition to this, we have introduced our 5 Year Recharge benefit which allows all employees an additional 2 weeks of paid leave after 5 years continuous service.
Flexible Working: We know that the ‘ideal’ work life balance will vary from person to person and change at different stages of our working lives. To accommodate this, we have implemented a hybrid working policy and introduced more flexibility around taking unpaid leave.
Corporate Responsibility Days: Our world is important to us, so all our employees get 3 every year to help social and environmental causes and increase our impact on the communities that mean the most to us.
Wellbeing Fund: We want to encourage all employees to take charge and prioritise their own wellbeing. We’ve introduced our annual People Fund to support this by offering every individual a fund to support and manage their wellbeing through an activity of their choice.
Profit Share Scheme: All employees participate in the Baringa Group Profit Share Scheme so everyone has a stake in the company’s success.

Diversity and Inclusion We are proud to be an Equal Opportunity Employer. We believe that creating an environment where everyone feels a sense of belonging is central to our culture and that diversity is paramount to driving creativity, innovation and value for our clients and for our people.

We are committed to creating an environment that values women, well being in the workplace for all and celebrates our employees as a “Great Place to Work.”

Using business as a force for good. We maintain high standards of environmental performance and transparency, which can be seen through our commitment to Net Zero with our SBTI verified Scope 1, 2 and 3 emissions reduction targets and our support of the Better Business Act. We report our progress publicly and ensure that we are also externally assessed and scored through organisations like CDP and EcoVadis - helping us to continually identify where we can improve.

We have a long legacy of supporting the communities in which we work, and offer a variety of ways to contribute, by putting people first and creating impact that lasts. Our Corporate Social Responsibility (CSR) agenda is about giving back to the communities in which we live and work by sharing our skills, talent and time. In essence, we aim to empower and encourage everyone in the firm to contribute to the things we care about and support registered charities and organisations with a clear social or environmental purpose to increase the positive impact they can have.

Equal Opportunity Statement All applications received will be reviewed by the Talent Acquisition team. No automation or AI tools will be used exclusively to make hiring decisions. Applications will be considered for employment without regard to race, ethnicity, religion, gender, gender identity or expression, sexual orientation, nationality, disability, age, faith or social background . click apply for full job details

Staff Software Engineer, Motion Planning

AeroVect Technologies Inc.

Job Description

We are looking for an experienced Staff Software Engineer who can design and build best in class planning systems for autonomous driving in structured, low speed environments.

In this role, you’ll be the technical backbone of the planning stack - owning the design and implementation of production grade mission planning, behavior planning, and motion planning software. You’ll work across the full planning pipeline to achieve category defining vehicle autonomy for the airside, tackling hard problems in trajectory optimization, decision making under uncertainty, and real time constraint optimization.

This opportunity offers a deeply technical engineer the chance to shape a market defining enterprise product that combines autonomous vehicle technology with a robotics as a service (RaaS) business model. This role reports to our Planning Tech Lead and works closely with the autonomy engineering team.

You Will

Design, implement, and iterate on the mission planner, behavior planner, and motion planner for autonomous ground support equipment operating in airport airside environments.
Drive key technical decisions across the planning stack - selecting algorithms, defining interfaces, and establishing the architecture that the team builds on.
Prototype and evaluate new planning approaches (e.g., optimization based methods, search based planners, learning augmented pipelines) and bring the best ideas to production.
Collaborate cross functionally with perception, controls, localization, and systems engineering teams to deliver an integrated autonomous driving system.
Establish and promote best practices in software development, functional safety, and systems engineering as they apply to the planning domain.
Mentor other engineers through technical guidance, code review, and design discussions.

You Have

Bachelor’s or Master’s degree in Computer Science, Math, Electrical Engineering, Mechanical Engineering, Robotics, Physics, or a related field.
Extensive hands on experience designing and implementing planning modules for autonomous systems shipped to production or deployed in real world operations.
Strong programming skills in C++ (preferred) or Python, and experience with Linux based operating systems.
Demonstrated ability to take ambiguous technical problems and drive them to well architected solutions independently.
Excellent communication skills, proactiveness, and a strong sense of ownership.

We Prefer

MS or Ph.D. in Computer Science, Robotics, or a related field.
Mastery of Modern C++ (14 and beyond) and safety critical coding practices (e.g., MISRA, ISO 26262).
5+ years of industry experience in planning for robotic ground vehicles.
In depth understanding of DDS frameworks like ROS/ROS2 or other networking middleware.
Experience in startup environments, demonstrating adaptability to rapidly changing priorities.

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Frequently asked questions

London offers a wide range of AI/ML Engineer roles including positions focused on natural language processing, computer vision, deep learning, data analysis, and AI research across various industries such as finance, healthcare, and technology.

Employers typically look for candidates with a strong background in computer science, mathematics, or related fields, experience with machine learning frameworks like TensorFlow or PyTorch, proficiency in programming languages such as Python or R, and a solid understanding of algorithms and data structures.

Yes, many companies in London offer remote or hybrid working arrangements for AI/ML Engineers, especially following the rise in flexible work trends. Job listings will typically specify the work location and remote options.

To improve your chances, build a strong portfolio showcasing your projects, contribute to open-source AI/ML initiatives, stay updated with the latest developments in the field, network with professionals in the London AI community, and tailor your CV and cover letter to highlight relevant experience.

Salaries for AI/ML Engineers in London vary depending on experience and company size but generally range from £50,000 to £90,000 per year, with senior roles and specialized expertise commanding higher compensation.