AI/ML Engineer Jobs in London

As a 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. You will be responsible for delivering 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.
Delivering using CI/CD to public and private cloud platforms, as well as familiarity with experimentation environments (e.g. Jupyter Notebooks)
Acting senior engineer within the team mentor 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 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, 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.

Financial Data Architecture Lead

Alexander Mann Solutions

AMS is a global workforce solutions partner committed to creating inclusive, dynamic, and future-ready workplaces. We help organisations adapt, grow, and thrive in an ever-evolving world by building, shaping, and optimising diverse talent strategies.

We partner with PwC to support their contingent recruitment processes. Acting as an extension of their recruitment teams, we connect them with skilled interim and temporary professionals, fostering workplaces where everyone can contribute and succeed.

PwC is a hugely diverse business, bound by our global purpose - to build trust in society and solve important problems. Our greatest opportunity to deliver our purpose is through meaningful work that makes a difference to our clients and society. We have a culture of high performance built on exceptional quality, ethical and professional standards. We lead by example. Our standards for quality - and care - are high. And together we surpass them. We believe we can make the biggest impact when leading with our purpose, values and PwC Professional behaviours in every interaction.

On behalf of PwC, we are looking for a Financial Data Architecture Lead for a 6 Month contract based in London.

Join us as a Financial Data Architecture Lead:

We are seeking a senior Financial Data Architecture Lead to design and lead the development of the Finance data foundation across Insurance Finance, Risk, Treasury, Tax and Actuarial domains. This role is not focused on building core platforms or infrastructure; instead, it centres on designing data models, structures, and flows grounded in real business and actuarial use cases, with a deep understanding of how data resolution, granularity and quality impact financial and actuarial models.

You will work closely with a centrally provided technology platform (Azure, Databricks) and act as the design authority for Finance data, analytics, and reconciliation frameworks. Python capability is essential, including building and deploying financial and analytical models.

What you’ll do:

Define and lead the end-to-end Finance Data architecture across Finance, Risk, Treasury, Tax, and Actuarial.
Design robust finance and actuarial data models that align with business use cases, regulatory needs, and analytical requirements.
Establish data foundations for new and evolving data sources, considering data resolution, lineage, controls, and downstream model impact.
Define data flows supporting statutory, regulatory, and internal reporting.
Partner closely with Finance and Actuarial stakeholders to understand how data feeds financial and actuarial models.
Assess and resolve data issues impacting model accuracy, reconciliation, and comparability across reporting bases.
Provide thought leadership on data structures that enable scalable analytics and advanced modelling.
Lead and oversee the deployment of Python-based data and financial models on central data platforms.
Develop and review Python pipelines supporting analytics, modelling, and reporting use cases.
Support reporting and analytics capabilities, including BI and advanced analytical layers.

Key Accountabilities, Skills & Experience:

Proven experience as a Finance Data Architect, Senior Data Architect, or Finance Data Modeller in insurance or financial services.
Deep understanding of insurance finance and actuarial data, including large-scale transformation programmes.
Experience working with central/platform technology teams rather than owning infrastructure delivery.
Strong Python development skills for data analysis, financial modelling, and pipeline development.
Experience deploying Python models within modern data platforms (eg Databricks).
Strong understanding of data modelling concepts (conceptual, logical, physical) within Finance and Risk domains.
Experience supporting reporting, analytics, and BI use cases built on Finance data foundations.
Understanding of regulatory and statutory reporting data requirements.

Next Steps:

At PwC we want every individual to feel valued, respected and empowered to contribute fully. Creating an environment where everyone belongs and thrives unlocks greater innovation, productivity and deeper engagement.

If you are interested in applying for this position and meet the criteria outlined above, please click the link to apply and we will contact you with an update in due course.

AMS, a Recruitment Process Outsourcing Company, may in the delivery of some of its services be deemed to operate as an Employment Agency or an Employment Business.

Zalos is building the AI action layer that sits on top of SAP, Salesforce, ServiceNow, and every other enterprise system of record your customers are trapped inside. The problem is enormous and deeply unsexy: Fortune 500 companies run on software so painful that workers toggle between applications 1,200 times a day, losing 4 hours a week just navigating screens. These systems are so welded into a company it can cost $700m to replace a core ERP (see here ).

So we’re not replacing them. We’re the layer across them. Zalos is the intelligent interface layer that lets enterprise teams describe what they want in plain language: “onboard this vendor, collect the docs, route approvals, set payment terms.” It executes correctly across SAP, Salesforce, and ServiceNow with a full audit trail. No spelunking through 20 tabs. No tribal knowledge required.

We have paying enterprise customers, strong seed funding, and a small team that moves fast. This is a rare chance to join at the ground floor and define how AI gets work done inside the world’s largest organizations.

As Zalos’s Senior AI Engineer, your job is to build the AI that makes this real. You’ll be designing the agent architecture that takes messy human intent and turns it into correct, auditable action against enterprise systems of record. This is the hard, important part of the product. It’s entirely yours to own.

What we’re building

Enterprise software was built to store data and enforce process. It was never built to be used by humans who have better things to do. The result: highly trained people wasting hours every day fighting screens instead of doing the actual work.

Zalos attacks this from three angles:

Intent-to-action: A user describes an outcome. Zalos figures out which systems to touch, in which order, with which data, and executes it with the right approvals and a clean audit trail.
Cross-system workflows: Event-driven chains that span SAP, Salesforce, and ServiceNow simultaneously. “If invoice posted AND variance >3%, draft an explanation and route for approval.” Actions no single vendor would ever build.
Computer-use for the long tail: Not every enterprise workflow has a reliable API. We use computer-use agents to automate the 30 to 40 percent of processes that live in screens, VDI sessions, and legacy thick clients.

Our goal is to become the trusted control plane for enterprise work: the place teams go to understand their systems, execute across them, and ship new workflows without waiting on IT.

What you’ll work on

Design and own the core agent architecture: how we take a natural language intent, decompose it into steps, call the right APIs and UI agents, handle failures gracefully, and close the loop with the user
Build reliable, production-grade LLM pipelines covering context management, tool use, structured outputs, and multi-step reasoning across systems with real enterprise data
Create evaluation frameworks that let us ship with confidence: evals, replay testing, regression detection, and output quality scoring against enterprise workflows
Build computer-use agents that can navigate legacy enterprise UIs including SAP GUI, ServiceNow, and thick clients, reliably enough to trust in production
Work directly with the founders and customers to understand where AI fails in real enterprise workflows and translate that into better systems
Set the technical standards for how we build AI at Zalos. You’ll be defining the patterns the rest of the team builds on

Must haves

We’re looking for a formidable engineer. Someone who stops at nothing to get something working. Enterprise AI is unglamorous: the systems are ugly, the APIs are partial, the data is messy, and “it worked in the demo” is not good enough. You need to actually want to solve this.

You’ve shipped AI-powered features that real users depend on in production. You know what breaks and how to prevent it
Deep hands-on experience with LLM APIs, agentic patterns, and tool/function calling. Not just wrappers around OpenAI, but genuine systems-level thinking about how agents fail
You think about reliability, latency, and cost as first-class engineering concerns, not afterthoughts
You build evals before you ship, not after something breaks in front of a customer
Strong Python; comfortable owning the full loop from prompt design to deployed API
High ownership: you take something from an ambiguous problem statement to a clean, working solution with minimal hand-holding
You’re pragmatic. Startups are always on fire somewhere. You know when to let something burn and when to drop everything

Nice to haves

(Apply even if none of these apply. They’re genuinely optional.)

Fine-tuning or RLHF on domain-specific tasks
Prior founding engineer or early-stage startup experience

The team you’ll work with

You’ll work directly with the founders from day one. No engineering manager in the way, no sprint planning theatre.

Why Zalos

The market is real and enormous. The system integration market alone is $380B. Every enterprise on earth has this problem and nobody has solved it with AI yet.
You’ll work on genuinely hard AI problems. Reliable agents over messy enterprise systems, computer-use for legacy UIs, cross-system orchestration with audit trails. This is frontier applied AI, not wrapper engineering.
Paying customers from day one. We’re not pre-product. You’ll see your work matter in real enterprise workflows within weeks of joining.
Small team, high trust. You’ll have a direct line to founders and customers. Your opinions shape the product.

About the interview

We move fast and respect your time. No leetcode. No whiteboard puzzles.

15-min intro call with a founder. We’ll walk you through what we’re building and what we need. You’ll tell us what you’ve shipped.
Take-home technical task. No trick questions. We want to see how you think, not how you memorize.
1-hour technical deep-dive with our CTO. Walk through your design, discuss tradeoffs, get into the weeds on production reliability.
3-day paid work trial. Build something real with us. This is the most predictive step we have.
Offer. If we’re aligned, you’ll have an offer within a week of the trial.

AI Scientist / Machine Learning Engineer

AI Scientist / Machine Learning Engineer Role

We are looking for an AI scientist or machine learning engineer to design and implement the algorithms that power Biostream’s physiological monitoring and alert systems.

You will work closely with the biostatistics team to translate probabilistic and Bayesian models into deployable algorithms that operate on real-world sensor data. The role focuses on building robust machine learning systems capable of detecting physiological deterioration from multi-sensor inputs in complex and noisy environments.

You will collaborate with engineers, statisticians, and medical advisors to develop models that can operate on-device or in distributed systems with constrained connectivity.

Responsibilities

Design and develop machine learning algorithms for physiological signal analysis and risk detection
Work closely with the biostatistician to implement Bayesian models and probabilistic frameworks
Develop models combining vital signs, motion data, and contextual signals
Build pipelines for sensor data processing, feature extraction, and model training
Implement algorithms suitable for real-time and edge deployment
Evaluate model performance and robustness across heterogeneous datasets
Develop simulation and testing environments for algorithm validation
Contribute to the integration of models into the broader software platform

Profile

MSc or PhD in machine learning, artificial intelligence, computer science, applied mathematics, or a related field
Strong experience developing machine learning models for time-series or sensor data
Strong programming skills in Python
Experience with machine learning frameworks such as PyTorch, TensorFlow, or JAX
Experience building data pipelines and training workflows
Ability to work with imperfect, noisy, or incomplete datasets

Nice to Have

Experience with physiological signal processing (ECG, PPG, respiration, etc.)
Experience working with wearables or biosensor data
Familiarity with Bayesian modelling or probabilistic machine learning
Experience deploying models on edge devices or constrained hardware
Experience with healthtech, medical AI, or clinical datasets

What You Will Work On

Physiological signal processing
Integration of probabilistic models with machine learning systems
Real-time monitoring and alert systems
Deployment of models in constrained operational environments

Senior Software Engineer

Overview

Who are we? Lyst is a global fashion shopping platform founded in London in 2010 and catering to over 160M shoppers per year. We offer our customers the largest assortment of premium & luxury fashion products in one place, curating pieces from 27,000 of the world’s leading brands and stores. In 2025, Lyst joined Zozo, operators of Zozotown, the leading fashion e-commerce platform in Japan. This partnership marks a bold new era for Lyst, as we accelerate our vision and work together to transform the future of fashion shopping through AI and technology.

At Lyst, we obsess over the customer, providing a search & discovery experience which offers inspiration, fulfilment, and personalisation. We believe that fashion is amazing but shopping for fashion often isn’t, and use our technology, data and creativity to bring more joy, greater choice and fewer fails. Our mission is to help fashion shoppers make better choices and help fashion partners find better audiences as the category-leading destination for every fashion shopper.

The role

We are looking for a new engineer to join our Product Listings squad to help Lyst work on transforming the shopping experience of fashion lovers. You will work closely with our current engineers, designers, product managers, and analysts to develop new product features. As a member of the Product Listings team, you’ll work on maintaining and improving our product data and marketing systems. The team is responsible for keeping good product data, transforming it for the rest of the company to empower user journeys and support effective marketing campaigns.

We are data-driven and make decisions based on empirical results. You share the data mindset, can suggest pragmatic experiments to prove a hypothesis, and are willing to be proven wrong by data. Your role will be to drive technical improvements and innovations to the system through partnering with your product manager and tech leadership.

First three months

Within the first three months, you will be able to:

Contribute to every part of our system, tests, documentation, as well as code and process.
Collaborate with product managers, engineers, analytics, QA and designers.
Ensure the stability of our system by improving the monitoring tools we use.
Write resilient code that is well tested (unit, integration, etc.) and quality controlled.
Engage in code reviews to ensure pragmatic code makes it to production.
Be curious - not just the code, but the architecture of our platforms and everything that makes them work and the product.
Participate in all team ceremonies and have direct input in the team’s ways of working.
Work inside Product Development tribe towards the success of the Lyst Marketplace, collaborating with key teams from Discovery, CRM or Paid Marketing.
Gain expertise over our tools and services: Python, Docker, Github Actions, PostgreSQL, etc.

About the team

We improve and maintain services that ingest high volumes of product updates provided from thousands of different partners in parallel.
We use Machine Learning to normalise and enrich the product data to improve the customer experience.
We maintain systems critical for our analytics data and reporting.
We strive to keep our services highly available and scalable.
We aim to follow good observability standards and be proactive instead of reactive.
We are fully AWS hosted, utilising a range of tools and setups: ECS, Docker, GitHub, GHA, Postgresql, Redis, SQS, Sentry and more.
We support internal teams that work directly with fashion partners.
We also support marketing executives and their campaigns with bespoke systems.
We value collaboration and knowledge sharing within the team and beyond.
We are a no-blame culture.

Core Requirements

Proven experience with Django/Python and web fundamentals.
Strong knowledge of Software Architecture Design Principles.
Communication: You can communicate clearly and are open to feedback when sharing ideas with everyone on the team. You can explain your ideas clearly and transform them into plans. You can design the solution to a complex problem.
Quality - You strive to write code that is readable by everyone, well tested and robust in production. Code without rigorous tests helps no one.
You aren’t afraid to refactor existing code in favour of working around shortcomings.
A thorough knowledge of automated testing, particularly unit testing.
Knowledge of CI/CD pipelines like GitHub Actions (GHA).
As a Senior Engineer, you can coach and mentor your peers. You can take problem statements and recommend solutions. You can take on a role of feature lead and own the delivery of a piece of software.

Bonus points

Experience with data pipelines with frequent updates at high scale
Experience with ETL pipelines (DBT, Snowflake)
Experience with Machine Learning technologies

Things that matter to us

You are curious at heart and like to take ownership of something to make it better.
You like to focus on quality and improving systems.
Being confronted with a difficult or strange problem makes you feel like a detective who wants to crack the mystery.
Sense of ownership over products, features and services the team looks after.
You have good experience dealing with legacy code.
You like to build and improve dashboards to follow technical and business metrics.
You have experience building for fault tolerance.

Our Ways of Working

We all come into the office on Tuesdays and Thursdays, with the option to work remotely or come into the office on the other days. We believe that in person collaboration and community spirit is super important, which is why we spend some of our time in the office and some of our time at home.

Time Off

In addition to the 8 statutory bank holidays, you will receive 29 holidays per year. Lyst’s holiday year runs from 1 April to 31 March.

Remote Working

Work from anywhere for up to 4 weeks per year

Benefits

Competitive Family Leave Package: This includes Enhanced Family Leave for those eligible, paid Time off for Dependents and Support for Fertility Treatment & Loss.
Clothing Benefit: We provide a clothing allowance to use on Lyst every year. This starts at £250 when you join and increases up to £1,000 with your length of service.
Private Healthcare: Our healthcare provider is Vitality. We offer a comprehensive healthcare scheme from the day you start.
Training Allowance: Annual training allowance of £1,000 for conferences, courses and resources.
Pension Scheme: Our pension provider is The People’s Pension with a minimum employee contribution of 5% and 3% employer contribution.
Eye Tests and Vouchers: Free eye test every year and discounts on glasses.
Cycle-to-Work Scheme: Lyst will purchase a bicycle for you and provide a voucher to collect it.
Transport Season Ticket Loan: Interest-free season ticket loan.
Social Events: Frequent company-wide events and interest-based groups.

Generative AI Engineer

One of the most exciting prospects in the UK cyber security sector today, Bridewell is a leading cyber security services company specialising in protecting and transforming critical business functions for some of the world’s most trusted organisations. We are the trusted partner for operators of essential services andprovideend-to-end cyber security capabilities that help our clients overcome their security challenges, allowing themtooperatesafely and securely.

Bridewell holds theGoldlevel, Investors in People award which we feel solidifies and reflects on the outstanding calibre that makes us truly one team.

Who are we looking for?

Bridewell is looking for a Generative AI Engineer to design and implement cutting-edge AI solutions leveraging generative models. You will focus on prompt engineering, model fine-tuning, and ensuring secure deployment of AI systems. If you are passionate about generative AI and innovation, this role is for you.

What you’ll be doing

Responsibilities:

Design, develop, and fine-tune generative AI models
Create and optimize prompts for large language models
Prototype and deliver proof-of-concept solutions
Document requirements and maintain clear technical specifications
Collaborate with other team members and cybersecurity specialists
Ensure security and privacy controls are applied to AI systems

What we’re looking for

You’ll have experience of:

Knowledge and interest in computer systems and the latest technologies
Strong understanding of cloud services such as SaaS, PaaS, IaaS, serverless and other key services
Attention to detail and ability to complete tasks to a high standard (essential)
The ability to communicate complex procedures to other colleagues
Commercial and business awareness
Passionate about security
Good communication skills - both written and verbal
Motivated to pick up new technologies
Naturally driven, enthusiastic and willing to learn

Required/Desirable Skills:

Strong understanding of generative AI architectures and prompt engineering patterns (essential)
Ability to code in Python (essential)
Familiarity with TensorFlow, PyTorch, or Hugging Face (essential)
Experience with version control, e.g., Git (essential)
Understanding of CI/CD pipelines (essential)
Strong documentation and requirements analysis skills (essential)
Experience with process automation frameworks such as LangChain or LangGraph (essential)
JavaScript coding ability (desirable)
Familiarity with security automation concepts (desirable)
Understanding of cybersecurity principles and operational processes (desirable)
Experience building prototypes or proof of concept AI solutions (desirable)
Knowledge of privacy and security controls in AI systems (desirable)

Why join us?

Our vision is to create a safe, inclusive digital world where people and organisations can thrive. Our values ofDo the Right Thing, One Team and Above and Beyondemphasises the importance of the part we play in society, and our commitment to our people and clients. Our story to-date has been phenomenal, but successdoesn’tend here and as we continue to grow and scale, we want to keep the same culture, passion and commitment to high quality that has enabled us to get this far. Bridewell willprovidea great careeropportunity with continual development as well as the following:

25 Days Holiday - Plus buy and sell options
Flexible Working (around core office hours)
Employee Benefit Trust
Company Pension
Personal Day & Birthday Off - After 1 year of service
Family Leave - After 1 year of service
Enhanced Maternity based on length of service
Dedicated Training Budget
Life Assurance
Electric Vehicle Scheme& Cycle to Work Scheme
Private Healthcare (incl. Gym discounts and vison care)

Location: Bridewelloperatesa hybrid and flexible workingpolicy,however you willbe requiredto travel to different sites on occasion. Note: To be eligible for this job you must either hold SC or be eligible and willing to go through security clearance.

Bridewell values diversity in the workplace and is a fair and equal opportunity employer. We are committed to creating an equal and inclusive working environment, with the aim that our employees will be truly representative of all sections of society and each person feels respected and able to give their best.

Senior Software Engineer

StrideUp Homes Limited

StrideUpis leading a new era of values-driven finance. Ranked the 5th fastest growing fintech in the UK and Ireland in 2025, we have already deployed hundreds of millions in property finance, supporting people in achieving their financial goals.

What makes us different is how we combine purpose with performance. We began with home finance, creating a shariah-compliant alternative trusted by the Muslim community and welcomed by anyone seeking fairer, more transparent products. This product-market fit has powered our growth, and is only the beginning. Our vision is bigger; to expand our offering and build a financial institution that opens doors for communities often left behind.

Joining StrideUp means being part of a high-performing, values-driven team at the most exciting point in our journey. We have proven success behind us and a huge opportunity ahead, and now we are ready to build beyond. Are you?

StrideUpis backed by leading VC and private equity investors, having raised over £35m in funding.

The Role

This is a high-impact individual contributor role at StrideUp, reporting into our Engineering Manager. You will be a key member of the engineering function, playing a critical role in building the systems that power our mission.

A central part of this role is the intelligent use of technology to raise product quality and development velocity. We are looking for an engineer who is highly motivated and driven to improve the efficiency of our delivery. We believe the key to scaling is using technology more intelligently, you will be our internal expert on how we leverage the latest advancements to stay ahead.

This is not a management role, but it is a role of immense influence. You will be at the cutting edge of code production, championing the adoption of AI-supported development and automation where applicable. You aren’t just a user of these tools, you have a high level of awareness regarding the benefits and risks of agentic tooling, ensuring we innovate safely and effectively.

What You’ll Do

Act as a high-impact IC, delivering clean, maintainable, and robust code across our entire stack to support our ethical finance platform.
Drive the efficiency of our delivery by identifying bottlenecks and implementing automation or AI-supported workflows to streamline the path from idea to production.
Champion and implement the adoption of AI-supported development tools, evaluating their efficacy and ensuring the team understands both the productivity gains and the security/quality risks.
Collaborate closely with Product and Leadership to translate commercial objectives into technically sound, deliverable plans that maintain our high standards for quality.
Set and uphold engineering standards across code quality, testing, CI/CD, and architecture, acting as a beacon for technical excellence within the team.
Step in on the most challenging deliveries, providing the technical “heavy lifting” required to solve complex architectural or performance issues.

You Are

Highly Motivated & Driven - You have an internal engine for improvement. You aren’t satisfied with “good enough” and are constantly looking for ways to make our delivery faster and our code higher quality.
A Technical Pioneer - You stay at the cutting edge of how software is built today, particularly in how AI can augment the development lifecycle.
Pragmatic - You understand the trade offs between speed and perfection. You make sound decisions under uncertainty and know how to manage technical risk.
Self aware - You understand your strengths, know when to dive deep, and reflect honestly on your own performance and the system’s health.
Communicative & Nuanced - You can explain complex technical choices-and the risks/benefits of new tools like AI-to both technical and non technical stakeholders.
Trustworthy & Collaborative - You feel a genuine shared responsibility for the success of the whole business, ensuring our technology directly enables ethical financial outcomes.

Requirements

Proven Technical Depth: Strong experience with JavaScript/TypeScript and Java/Kotlin, NestJS, React, and PostgreSQL or MongoDB.
Infrastructure Fluency: Hands on experience with AWS, Docker, Terraform, and modern CI/CD pipelines.
AI Supported Development: A deep, practical understanding of how to use AI and automation to accelerate code production, with a clear eyed view of the associated risks (security, hallucinations, maintainability).
Quality Obsession: A track record of significantly improving the quality and velocity of delivery in a fast paced environment.
Commercially Minded: Ability to connect technical choices to business outcomes, specifically within the context of ethical finance and regulated environments.

Bonus

Previous experience in FinTech, the lending industry, and/or an FCA regulated firm.
Experience with complex financial ledger systems.

Benefits

Salary: Competitive, based on experience
Discretionary annual bonus
25 days annual holiday
Health insurance
Life insurance
3% pension contribution
Monthly socials
Central London location
Friendly and informal startup environment with a focus on performance and impact

Equal Opportunity Employer

StrideUp is an equal opportunity employer and is committed to promoting diversity and inclusion in the workplace. We celebrate the diversity of our team and encourage applications from all individuals, regardless of race, ethnicity, religion, gender, gender identity or expression, sexual orientation, disability, age, marital status, pregnancy, or any other characteristic.

We welcome applicants from all backgrounds and look forward to seeing how you can contribute to our mission.

Senior Software Engineer, Content Agent

We’re hiring a senior engineer for Content Agent - Sanity’s operations layer for structured content. It’s the system that turns content work (bulk edits, audits, translation, publishing) into things an agent can actually run. It lives in Dashboard, Studio, Slack, and behind a headless API. If you’ve spent time on AI systems that have to hold up for real users, not just in a demo, read on.

At Sanity, we build an AI-powered content operating system that lets teams model, create, and automate content the way their business actually runs. SKIMS, Figma, Riot Games, Anthropic, COMPLEX, Nordstrom, and Morningbrew run their content operations on it.

Content Agent is the part of the product that understands structured content - schemas, references, field types, validation rules - and can be trusted to operate on it correctly. You’d be doing full-stack product work in TypeScript and React: MCP tools and integrations, agent orchestration, system prompts, evals to make the whole thing more reliable. Engineers on this team own their domain and work closely with product on what gets built next.

Responsibilities

Deliver full stack product work: design and build React interfaces in Dashboards, APIs, and backend services.
Develop MCP tools and integrations that extend what the agent can do.
Implement agent loops - the orchestration logic that decides what the agent does, in what order, and when to bring a human in.
Create and maintain system prompts as engineering artifacts.
Run evaluations and experiments to measure and improve reliability in real usage.
Utilize GROQ, Sanity’s content query language, to give the agent a deep understanding of structured content.
Shape the evolution of Content Agent with product and design, balancing innovation and practical constraints.

Qualifications

Strong proficiency in TypeScript and React, comfortable across the stack (frontend, APIs, backend).
Experience shipping LLM based systems in production.
System thinking mindset: analyse user intent, edge cases, failure modes, and architecture decisions for new agent capabilities.
Strong written communication for crafting clear agent instructions and system prompts.
Comfortable with probabilistic systems and data driven experiments; ability to read statistical results and iterate on aggregates.
Real experience with or strong curiosity about MCP, tool use patterns, and agent architectures.
High regard for craft in code, writing, and product quality.
Non traditional background experience (e.g., writing, interaction design, liberal arts) is encouraged.

Location: London, UK or Oslo, Norway (in office 2-3 days/week)

Sanity.io is an organization that reflects the globally diverse audience that our product serves. We believe that a diversity of perspectives, ideas, and cultures leads to better products and services. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, or gender identity.

Senior Software Engineer, Content Agent

What you’d be doing:

Full-stack product work: React interfaces in Dashboards, APIs, backend services.
MCP tools and integrations that extend what the agent can do.
Agent loops: the orchestration logic that decides what the agent does, in what order, and when to bring a human in.
System prompts. We treat these as real engineering artifacts, not a note at the top of a file.
Evals and experiments to measure and improve reliability in real usage.
GROQ, Sanity’s content query language - using it to give the agent a deep understanding of structured content.
Shaping what Content Agent becomes, with product and design. There’s a lot of latitude here.

About you:

Location: London, UK or Oslo, Norway (in-office 2-3 days/week)
Strong TypeScript and React, comfortable across the stack (frontend, APIs, backend). You don’t want to be boxed into one layer.
You’ve shipped LLM-based systems in production. You know the hard part isn’t getting a model to do something once; it’s getting it to do the right thing for every user who shows up.
You think in systems. Given a new agent capability, you think through user intent, edge cases, failure modes, and what that means for the architecture: what the agent knows, what tools it has, when it escalates.
You write well and you care about why one phrasing works where another doesn’t. An agent’s instructions are prose running on a system that reads literally. Writing them well takes a feel for how language lands, not just what it says - who “you” refers to, what’s implied versus explicit, how a sentence will actually be parsed.
You’re comfortable with probabilistic systems. Improving an LLM product means running experiments, designing evals, reading results statistically, and not chasing individual failures when the aggregate trend is what matters. You’ve moved past “it compiles or it doesn’t.”
Real experience with, or real curiosity about, MCP, tool-use patterns, and agent architectures.
You care about craft in code, in writing, and in the products you ship.

Nobody checks every box. We’re especially interested in people from non-traditional backgrounds - writing, interaction design, liberal arts - who’ve built real engineering skills on top. Some of the best agent work we’ve seen comes from people who understand language and how people actually work, not just systems architecture. If this sounds like you, send something in.

What we can offer:

A highly-skilled, inspiring, and supportive team
Positive, flexible, and trust-based work environment that encourages long-term professional and personal growth
A global, multi-culturally diverse group of colleagues and customers
Comprehensive health plans and perks
A healthy work-life balance that accommodates individual and family needs
Competitive stock options program and location-based salary

Who we are:

Sanity.io is a modern, flexible content operating system that replaces rigid legacy content management systems. One of our big differentiators is treating content as data so that it can be stored in a single source of truth, but seamlessly adapted and personalized for any channel without extra effort. Forward-thinking companies choose Sanity because they can create tailored content authoring experiences, customized workflows, and content models that reflect their business.

Sanity recently raised a $85m Series C led by GP Bullhound and is also backed by leading investors like ICONIQ Growth, Threshold Ventures, Heavybit and Shopify, as well as founders of companies like Vercel, WPEngine, Twitter, Mux, Netlify and Heroku. This funding round has put Sanity in a strong position for accelerated growth in the coming years.

We are pioneers, we exist for our customers, we are hel ved, and we love type two fun! Read more about our values here!

Sanity.io pledges to be an organization that reflects the globally diverse audience that our product serves. We believe that, in addition to hiring the best talent, a diversity of perspectives, ideas, and cultures leads to the creation of better products and services. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, or gender identity.

Overview

Operating as a highly experienced analyst, you will be a key resource in a team of analysts responsible for owning, generating and delivering relevant, accurate and valuable business insights to internal and external customers.

With the ability to demonstrate simple to complex analytical techniques using industry standard tools, your role will be to help the business make timely and better-informed decisions. You will develop & coach the data analysts in technical capabilities, in partnership with the team manager, ensuring that the team develops in line with business change and technology developments.

The Analytics team support evidence-based decision making across PRS for Music, as well as helping our members understand trends and factors that influence the use of their works. We develop key reporting, working to utilise the latest technology to enhance our analytical capabilities.

In the role, you’ll be able to draw on a knowledgeable team, working with your colleagues to solve problems in an environment where it’s ok to experiment and bring new ideas to the table in the interest of finding new solutions and raising the standard across the team.

Responsibilities

Assisting with the management of the pipeline of analytics work, in partnership with the team manager / Head of Data Services Delivery / product owners and ensuring the team is following delivery and development frameworks to assist with ad hoc and product-based delivery.
Translate complex data into clear narratives and recommendations for relevant business areas & senior management as appropriate.
Contribute to the creation of an enterprise-wide approach to delivering self-serve analytics in the PRS organisation through best practice (tools, methods, & data governance).
Coaching and mentoring team members on advanced analytics techniques, such as supervised machine learning models, predictive models, segmentation strategies and scenario simulations to support strategic decision-making.
Actively collaborating with the wider Data Services team and business stakeholders to explore new business opportunities where advanced analytics methodologies can be implemented.
Stay up to date with emerging trends in AI, machine learning and data science, and contribute to the application of these to the PRS business model.

About you

Proven experience and track record of Senior/ Lead Data Analysis with responsibility for technical delivery.
Ability to coach and mentor data analysts in technical and non-technical skills.
Proficient in using SQL to query, extract, and analyse large and complex datasets from relational databases.
Competency in using coding languages such as Python and experience in advanced analytical techniques such as classification, regression and clustering.
High proficiency in data visualisation using Microsoft Power BI and DAX (or similar BI tool).
Strong stakeholder management skills, with the ability to communicate data visually, communicating results in a clear and understandable manner to non-technical disciplines.
Strategic thinker, with the ability to recognise the relationship between your own work and the objectives of the team and wider business.
Self-motivated, with exceptional verbal and written communication skills.

Desired Skills/Experience

Experience of Generative AI in analytics / coding
Experience of working in Agile / Product based delivery models
Experience in Jira / Confluence

Having knowledge of PRS, Performance Rights Organisations, and/or the music industry would enhance a candidate’s application.

Quantitative Portfolio Manager

Project Management Institute

£150,000-250,000 GBP

Formulaic Bonus

Onsite WORKING

Location: Central London, Greater London - United Kingdom Type: Permanent

Quantitative Portfolio Manager - London

Anson McCade have partnered with an established Multi-Strategy Hedge Fund which is seeking Portfolio Managers to set up new trading teams or trade their own strategies independently. This firm has an extensive profitable track record, outperforming their peers, and is looking to continue this by setting up pods where Quant PMs will earn a % payout of their PnL.

In this role, you will be responsible for the full research and trading pipeline of your own systematic strategies, covering intraday or mid frequency time horizons (Minutes-a week), across US equities, global futures, or single stock options/vol markets. In addition to managing your own strategies, you will be able to build a team and utilise the expertise of the top C++/Python Developers at the firm.

The Role:

Research, development and trading of intraday or mid frequency cash equities, futures or options strategies.
Developing and optimising infrastructure and tools on an ad hoc basis.
Hiring and leading junior members of the team and leveraging the support of the CIO to improve performance and deal with challenges.

Requirements:

At least 5 years of experience in front office quant research in equities/ futures markets.
Proficiency in Python is required, C++ experience is desired, skills in R, Matlab, and SQL are also a plus.
A Bachelor’s and Master’s degree from a top University, PhDs are preferred but not required.

Energy Analyst page is loaded Energy Analystlocations: London York Roadposted on: Posted Todayjob requisition id: R201954, United Kingdom Job Family Group: Trading Jobs Worker Type: Regular Posting Start Date: April 21, 2026 Business Unit: Experience Level: Experienced Professionals Job Description: What's the role Shell Energy Europe & Environmental Products is seeking a Data Scientist to work within the Market Analysis team to develop and improve our forecasting models.Accurate forecasting of market fundamentals is critical to improved decision making on the trading desk. The analysis team develop and run a wide range of forecasts, using different methods such as machine learning, optimisation. What you'll be doing Shell Energy Europe is looking to hire a data scientist to support the Power Fundamentals team in building and productionising time series forecasting and optimisation models (stochastic optimisation, dynamic programming, LP/MILP models, etc). This person will have an enthusiasm to learn the inner working of the power market by working in close collaboration with domain experts. They must be able to understand the fundamentals of the power market and translate this into a mathematical model. This requires taking a pragmatic approach to model development, starting with a simple model, and iteratively adding complexity - driven by adding business value in a high-pace environment. This person must be a strong programmer, who is confident in productionising models in the cloud (Azure/AWS) and is comfortable in designing and implementing data ingestion and model deployment pipelines.Responsibilities: Prepare, process, clean and visualize various kind of power, gas, and weather data sets to establish a basis of further analysis. Develop, analyse, and conduct different approaches to forecasts different variables (Demand, wind, solar, prices). Statistical evaluation and validation of different types of forecasts. Build the framework to deploy models in production that will be use every day for trading decisions. Share this framework with the rest of the team to increase the performance of the rest of the team developments. Participate to the conception and development of a computational environment which enable scalability and high computational power. Develop in house optimisation models (stack models, dispatch models). Bring new ideas of models to improve the desk P&L. Delegate and lead some models and infrastructures projects done by teams of high technical people in IT and modelling. What we need from you Your technical skills and experience: Have a graduate qualification in an analytical or science-based discipline e.g., engineering/maths/computer science and ideally a PhD in machine learning, optimisation or equivalent End-to-end experience with data, including querying, aggregation, analysis, and visualization Strong competencies in Python for data analysis using the python data science libraries (Pandas/NumPy/SciPy/Scikit-learn). Strong SQL skills for data retrieval, basic analysis, and data cleansing. Strong knowledge and application of object-oriented design and software best practices in Python Familiarity of cloud architecture, with a focus in deploying and hosting applications in a cloud environment. Self-starter who is commercially aware and value focused. Able to work with minimal supervision and guidance. Good communication skills to present new developments and facilitate acceptation by the team and the traders.Ideally you would be proficient in a good selection of the following: Algorithmic complexity theory. Parallelism & Concurrency. Experience with messaging and or data streaming technologies such as Kafka, ActiveMQ, Azure Service Bus, and Azure Event Hubs. Experience in containerising models and deploying in Kubernetes. Have experience implementing algorithms and data-structures. Have a good knowledge of linear algebra, calculus, and discrete mathematics.After you submit your application, you will receive an email from Shell providing a link to an online assessment (HireVue) that is a mandatory part of the process and has a validity period - please check your spam/junk mailbox if you do not see the email. Once completed, your application will be reviewed to determine next steps. Thank you for your interest in Shell. What we offer You bring your skills and experience to Shell and in return you work with talented, committed people on one of the most important challenges facing our planet. You'll have the opportunity to develop the skills you need to grow in an environment where we value honesty, integrity, and respect for one another. You'll be able to balance your priorities as you become the best version of yourself. Progress as a person as we work on the energy transition together. Continuously grow the transferable skills you need to get ahead. Work at the forefront of technology, trends, and practices. Collaborate with experienced colleagues with unique expertise. Achieve your balance in a values-led culture that encourages you to be the best version of yourself. Benefit from a range of flexible working options. Perform at your best with a competitive starting salary and annual performance related salary increase - our pay and benefits packages are considered to be among the best in the world. Take advantage of paid parental leave, including for non-birthing parents. Join an organisation working to become one of the most diverse and inclusive in the world. We strongly encourage applicants of all genders, ages, ethnicities, cultures, abilities, sexual orientation, and life experiences to apply. Grow as you progress through diverse career opportunities in national and international teams. Gain access to a wide range of training and development programmes.We are committed to attracting a broader and more diverse pool of candidates. If this position doesn't feel like the perfect fit for your qualifications right now, we'd still love to hear from you.Shell is working to advance an inclusive, psychologically safe and accessible environment where people with disabilities can excel. If you require any accommodations or accessibility adjustments (e.g. assistive technology, communication support, or other) during the application or interview process, please let us know when prompted in your application. We strive to ensure that our process and workplace is accessible to everyone and are dedicated to making reasonable adjustments to support your needs. Shell in The United Kingdom Shell UK remains one of the North Sea's biggest producers, supplying around 10% of the UK's total oil and gas needs. But perhaps the most recognisable face of Shell in the UK is our network of over 1,000 Shell-branded service stations.In the years ahead, as the UK looks to strengthen energy security and deliver its 2050 net-zero goal, Shell UK aims to play a crucial role. We aim to be a major investor in the UK energy system by helping our customers decarbonise with a focus on transport and industry.- DISCLAIMER: Please note: We occasionally amend or withdraw Shell jobs and reserve the right to do so at any time, including prior to the advertised closing date. Before applying, you are advised to read our data protection policy. This policy describes the processing that may be associated with your personal data and informs you that your personal data may be transferred to Shell/Shell Group companies around the world. The Shell Group and its approved recruitment consultants will never ask you for a fee to process or consider your application for a career with Shell. Anyone who demands such a fee is not an authorised Shell representative and you are strongly advised to refuse any such demand. Shell is an Equal Opportunity Employer.You can be a part of the future of energy.

Lead Pricing Data Scientist

We exist to make migration easy.

Every year, millions of people move to a new country and find themselves cut off from essential financial services. We built our own technology to change that, insuring millions of drivers and lending millions in loans. But we’re not standing still.

Our ambitions are huge, and we need exceptional people to supercharge our growth and shape what comes next.

Marshmallow is a place for do-ers. People who are tenacious, hungry for ownership, and unfazed by complexity. But collective success always comes first - people here win and grow together.

Pricing at Marshmallow

Pricing at Marshmallow is where the mission gets real - delivering unbeatable prices that make migration easy. You’ll work with vast, proprietary data, cutting-edge models, and engineers who can implement your ideas fast. Ownership isn’t a buzzword here - you’ll have the autonomy to make decisions and the senior backing to act on them. This is a team that moves fast, challenges assumptions, and delivers change at high frequency.

What you’ll be doing

Develop a deep understanding of Marshmallow’s quote, policy, and claims data to derive insights that enhance pricing strategies.
Contribute to key pricing initiatives, including expansion plans and customer retention efforts.
Communicate analytical findings effectively to senior leaders and cross-functional teams.
Conduct data analysis using SQL and Python to drive decision-making.
Support the deployment of models in APIs for real-time pricing applications.
Collaborate with pricing team members to recommend changes and track their impact.
Assess new external data sources to refine claims risk evaluation and quantify their value.
Monitoring the performance of our business and contributing to our governance and control processes such as reviewing business mix and segmental loss ratio performance.
Work closely with Engineering and ML Engineering teams to implement pricing strategies.

Who are you?

Proactive: You want to drive growth by identifying new opportunities and take ownership to drive change
Technical: You aren’t afraid to learn new skills across Data Science & Insurance
Commercial: You want to deliver real world impact, not report on it
Curious: You aren’t satisfied with ‘That’s just how it is’; you immediately investigate further
Opinionated: You generate your own opinions & pitch to others in an open & honest way
Explainer: You can communicate complicated concepts in a simple way to non-experts

What skills are we looking for from you?

Ability to interrogate data and conduct pricing analysis within SQL & Python
Ability to build GLMs, GBMs and other models within Python
Prior experience in a data science role or STEM degree

Our Process

We break it up into 3 stages:

Initial screening call with a member of the TA team (30 mins)
Past experience interview with our VP Insurance(60 minutes)
A technical interview (90 mins)
A culture interview with a senior stakeholder to check that your work style fits our processes and values, and vice versa (60 mins)

Perks of the job

Hybrid working - Spend 2-3 days with the team in our collaborative London office, and own your own working hours. The rest is up to you.
Competitive bonus scheme - designed to reward and recognise high performance.
Flexible benefits budget - £50 per month to spend on a Ben Mastercard meaning you get your own benefits budget to spend on things you want. Whether that’s subscriptions, night classes, the big shop or a forest of houseplants. Pretty much anything goes.
Mental wellbeing support - Access therapy and mental health sessions through Oliva.
Learning and development - Personal budgets for books and training courses to help you grow in your role. Plus 2 days a year - on us! - to further your skillset.
Private health care - Enjoy all the benefits Vitality has to offer, including reduced gym memberships and discounts on smartwatches.
Medical cash plan - To help you with the costs of dental, optical and physio (plus more!)
Tech scheme - Get the latest tech for less.

Plus all the rest; 33 days holiday (including bank holidays), pension, cycle to work scheme, monthly team socials and company-wide socials every month!

Background checks

As part of our commitment to maintaining a safe and trustworthy environment, we’ll carry out standard background checks, including a DBS and Cifas check. These help ensure there are no ongoing criminal proceedings and support the prevention of fraud and other forms of serious misconduct. If anything of concern is identified, it may affect your eligibility for certain roles or services. Feel free to ask our Talent Acquisition team if you have any questions about this!

Everyone belongs at Marshmallow

At Marshmallow, we want to hire people from all walks of life with the passion and skills needed to help us achieve our company mission. To do that, we’re committed to hiring without judgement, prejudice or bias.

We encourage everyone to apply for our open roles. Gender identity, race, ethnicity, sexual orientation, age or background does not affect how we process job applications.

We’re working hard to build an inclusive culture that empowers our people to do their best work, have fun and feel that they belong.

Machine Learning Engineer

Overview

We’reKingfisher, A team made up of over 74,000 passionate people who bring Kingfisher - and all our other brands: B&Q, Screwfix, Brico Depot, Castorama andKoctasto life. Guided by our purpose Better Homes. Better Lives. For Everyone. We believe a better world starts with better homes, and we work every day to make that a reality. Join us and help shape the future of home improvement. This is an opportunity to make a significant impact across one of the largest retail groups in Europe. We are looking for a Machine Learning Engineer who will support the delivery and operationalisation of advanced artificial intelligence solutions created by our Group AI team. Your work will help shape how millions of customers and colleagues experience our products, services and decision making across our retail brands. You will work as part of a high performing engineering team to build scalable machine learning systems, ensuring models are robust, efficient and suitable for a live environment. You will collaborate with engineering, product and architecture colleagues to improve tools, processes and practices that accelerate the use of artificial intelligence across the organisation.

Key Accountabilities / Responsibilities:

Develop machine learning models and support their deployment into production
Write production quality code that is robust, efficient and maintainable
Contribute to the implementation and improvement of pipelines, tooling and automation
Apply good engineering standards and practices in model development
Monitor performance and contribute to ongoing optimisation of models
Work with colleagues to understand requirements and priorities
Share knowledge, contribute ideas and support a collaborative team culture

Qualifications:

Good understanding of computer science fundamentals, including data structures, algorithms and software design
Practical experience with classical machine learning techniques and an awareness of modern approaches such as natural language processing and deep learning
Strong Python skills and experience with common libraries such as Pandas, scikit-learn and Jupyter
Experience working with SQL and data pipelines to prepare and transform data for model training
Understanding of model evaluation, monitoring and improving performance in a production environment
Familiarity with tools and practices for deploying models, ideally including Git, CI workflows and containerisation
Comfortable working with statistical concepts to interpret data and assess model performance
Ability to work collaboratively, communicate clearly and deliver work to agreed outcome

How We Work

We believe in flexibility and balance. Our hybrid model blends home working for focus with time spent connecting and collaborating - whether in our offices or at offsite locations. On average within our Engineering team-40% of your time involving in-person collaboration.

We value the perspectives new team members bring and encourage you to apply - even if you don’t meet 100% of the requirements.

What We Offer

An inclusive environment where your potential is limited only by your imagination. We encourage new ideas, support experimentation, and strive to create a workplace where everyone can be their best self. Find out more about Diversity & Inclusion at Kingfisherhere

We also offer a competitive benefits package and plenty of opportunities to stretch and grow your career. Scroll down below to find out more about our benefits.

Diversity & Inclusion

Our customers come from all walks of life- and so do we. We’re committed to ensuring all colleagues, future colleagues, and applicants are treated equally, regardless of age, gender, marital or civil partnership status, ethnicity, culture, religion, belief, political opinion, disability, gender identity, gender expression, or sexual orientation.

Private Health Care

Opportunity to receive up to family level cover with AXA. Join within three months of starting or at annual renewal in April. (This benefit is subject to Benefit In Kind taxation).

Kingfisher Pension Scheme

Immediate eligibility through auto-enrolment. Contribute 8% to receive a max 14% from the Company.

25 Days’ Holiday

25 days per annum plus bank holidays as stated in your contract (pro rated for part time colleagues).

Staff Discount

20% discount at B&Q and Screwfix. Eligible after 3 months service.

Kingfisher Share Incentive Plan (SIP)

Share ownership in a tax efficient way. Save between £10 to £150 per month. Join at any time once three months service is reached.

Life Assurance

x4 Salary plus benefit equal to value of your Retirement Account (if an active member of KPS-MP) or x1 Salary if not active member.

Bonus

Competitive bonus scheme that aligns to work level of role.

Kingfisher Share Save

Save with the option to buy Kingfisher plc shares at the end of a 3 or 5 year period. Offered annually. Three months service is required at the annual invitation date, normally in October.

Our Behaviours

At Kingfisher, we are united by our 6 core behaviours

Constantly improving our customer experience

Acting with humanity and care

Be curious

Thriving on learning, thinking beyond the obvious

Be inclusive

Acting inclusively in diverse teams to achieve together

Be agile

Working with trust, pace and agility

Be accountable

Championing the plan to deliver results and growth

Training & Development

There are so many ways you can grow, learn, and develop here at Kingfisher. At whatever pace suits you.

Conversations with senior leaders Resources and tools to help you grow

Improving without instruments to help you learn is near impossible. That’s why we make sure you have everything at your fingertips to find exactly what you need to keep growing.

Initiatives that measure development

With plans that ask you what you want to achieve and when you want to achieve them by, tracking progress and keeping development at the forefront of conversation is easy.

Find your path

The scale of group functions within Kingfisher is huge. That means you have the chance to build different career paths within multiple areas of the organisation.

Sharing is caring

We aren’t selfish here at Kingfisher. Whatever your level of experience, you’ll work with colleagues who are always welcoming and ready to share their knowledge whenever you need it.

Reach for the stars

So your ambitions are high? Good thing we have opportunities to find experiences in line with more senior roles and responsibilities. Here, you can evolve your career, no matter your level.

Why Kingfisher

We’re an innovative, international retailer on a journey to actively make a difference. Always striving to take that next step. You can be part of the difference. From bottom to top you can progress in a collaborative environment. So, why not Kingfisher?

Application Process What to expect from our application process Step 1: Application

Send in your application via our Kingfisher Careers website.

Step 2: Review

A member of the Talent Acquisition team will then review your application let you know if you have progressed to the next stage of the process.

Step 3: Interview 1

You’ll then have a telephone interview/one to one conversation with a recruiter.

Step 4: Interview 2

As you progress, you’ll be invited to attend a face to face or virtual interview.

Step 5: Feedback

Your recruiter will be in contact with feedback and, if successful, the details of your job offer!

Full Stack AI Engineer (£70,000 + Equity) at CreateTOTALLY

Jack & Jill/External ATS

Job Title

Full Stack AI Engineer

Salary

Up to £70,000 + Equity

Company Description

CreateTOTALLY - AI-powered creative automation for Figma and Adobe

Job Description

As a Full Stack AI Engineer at CreateTOTALLY, you will build and ship features that automate creative production for global brands. Leveraging Next.js, Node.js, and LLMs, you’ll solve the repetitive production grind by developing intelligent automation workflows, owning features end-to-end on AWS serverless infrastructure within a fast-moving, central London-based startup environment.

Location

London, UK

What you will do

Develop and deploy full-stack features using Next.js/React, Node.js, and Python on AWS serverless infrastructure.
Integrate LLMs and AI APIs into the core product to automate asset generation, reviews, and complex brand workflows.
Collaborate across the team to improve UX and pragmatic technical architecture, ensuring high performance across Figma and Adobe integrations.

The ideal candidate

3-5 years of full-stack experience with deep proficiency in React/Next.js, Node.js, and PostgreSQL databases.
Proven experience integrating AI/LLM APIs into production applications and a passion for modern AI-assisted development tools.
A self-directed builder with strong UK work rights who prioritizes shipping speed and user experience over backend plumbing.

Data & Analytics Data Scientist - AI - Senior Managing Consultant Professional London, GB

+16

A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.

Your role and responsibilities

As a Senior Data Scientist at IBM, you will lead the design and delivery of AI solutions, advanced analytics and automation for clients across industries. You will work at the intersection of data science, business strategy, and technology, helping clients unlock value from their data assets while mentoring junior team members and shaping IBM’s data science capability.

Strategic leadership of large end-to-end AI solutions, advanced analytics and automation engagements from discovery to deployment.
Act as a trusted advisor to senior client stakeholders, translating business challenges into data-driven solutions and articulating the value of AI.
Translate complex data into actionable insights and strategic recommendations.
Collaborate with cross-functional teams including consultants, engineers, and client stakeholders.
Design and implement machine learning models, statistical analyses, and AI solutions tailored to client needs.

Lead business development through proposal writing, solutioning, and client presentations.

Mentor and coach junior data scientists and analysts.

Lead business development through proposal writing, solutioning, and client presentations.

Mentor and coach junior data scientists and analysts.
Stay current with emerging technologies and methodologies in AI/ML and data science.

Required education

Bachelor’s Degree

Preferred education

Master’s Degree

Required technical and professional expertise

Full AI Project Lifecycle: Experience in managing the full AI project lifecycle, from research and prototyping to deployment in production environments in a consulting or enterprise environment.Excellent communication and stakeholder management skills.
Advanced Analytics Techniques: Experience with advanced analytics techniques for structured data, including proficiency in Python and AI frameworks such as TensorFlow, PyTorch, Keras, or Hugging Face.
NLP and ML Methods: Deep understanding of Natural Language Processing (NLP) and Machine Learning (ML) methods for unstructured content, with expertise in foundation models and large language models.
AI Solution Development: Experience in architecting and delivering AI solutions using cutting-edge technologies, including tools like Github Copilot and Amazon Code Whisperer.
Cloud Platforms and Services: Familiarity with cloud platforms (e.g., Kubernetes, AWS, Azure, GCP, IBM Cloud) and related services, as well as experience with relational and NoSQL databases (SQL, Postgres, DB2, MongoDB).

As an equal opportunities’ employer, we welcome applications from individuals of all backgrounds. However, for you to be eligible for this role, you must have the valid right to work in the UK. Unfortunately, we do not offer visa sponsorship.

Preferred technical and professional experience

Foundation in Specialized Areas: Experience with one of the following areas: NLP, Image Processing, Video Processing, Voice Processing, or Watson technologies, enabling optimization of AI solutions and driving business value.
Proficiency in Modern UI Frameworks: Familiarity with modern UI frameworks such as Backbone.js, AngularJS, React.js, Ember.js, Bootstrap, and JQuery, allowing for seamless integration with AI solutions.
Operating System Knowledge: Experience working with various operating systems, including Linux, Windows, iOS, and Android, facilitating smooth deployment of AI solutions across different environments.
PhD or equivalent experience is a plus (preferable in Data Science, Computer Science, Statistics, or a related field.

ABOUT BUSINESS UNIT

IBM Consulting is IBM’s consulting and global professional services business, with market leading capabilities in business and technology transformation. With deep expertise in many industries, we offer strategy, experience, technology, and operations services to many of the most innovative and valuable companies in the world. Our people are focused on accelerating our clients’ businesses through the power of collaboration. We believe in the power of technology responsibly used to help people, partners and the planet.

YOUR

In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.

Being an IBMer means you’ll be able to learn and develop yourself and your career, you’ll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.

Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.

Are you ready to be an IBMer?

ABOUT IBM

IBM’s greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.

Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we’re also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business.

At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it’s time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.

IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

OTHER RELEVANT JOB DETAILS

IBM wants you to bring your whole self to work and for you this might mean the ability to work flexibly. If you are interested in a flexible working pattern, please talk to our recruitment team to find out if this is possible in the current working environment.

Job Title

Data Scientist - AI - Senior Managing Consultant

Job ID

90950

City / Township / Village

London

State / Province

London, City of

Country

United Kingdom

Work arrangement

Hybrid

Area of work

Data & Analytics

Employment type

Regular

Position type

Professional

Some travel may be required based on business demand

Company

(8660) IBM United Kingdom Limited

Shift

General (daytime)

Is this role a commissionable/sales incentive based position?

Salary: Up to £75k (DoE) Hybrid: 1 day/week in London No sponsorship offered

I’m recruiting on behalf of a fast growing accounting tech startup that builds automation and AI tools for in house finance teams. The company has strong traction and is expanding its engineering team.

Role Overview

Develop and maintain backend services powering automation features
Work closely with product and leadership in a fast paced startup environment
Rapidly prototype ideas and help scale them into reliable production systems
Occasionally contribute small frontend updates (React/TypeScript)

Tech Requirements

Must have: Java or Kotlin, Spring Boot
MySQL, OpenSearch, AWS
Nice to have: Groovy, Ruby on Rails, React/TypeScript

Candidate Profile

Several years’ backend engineering experience
Prior startup experience strongly preferred
Strong problem solving mindset
Comfortable working independently and collaboratively
Must already have the right to work in the UK (no sponsorship)

Benefits

Share options
25 days holiday + bank holidays
Personal learning & development budget
High impact role in a small, scaling team

Services advertised by Gold Group are those of an Agency and/or an Employment Business.

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Job category Business intelligence & analytics

Efekta is investing in product innovation to deliver the next generation of educational experiences. We are reinventing online language learning and are driving new and engaging ways for students and teachers to get the best out of our platform with a strong focus on AI and customer facing data products. We’re looking for like-minded individuals who love to grow, solve new and exciting problems, and make a genuinely positive impact on our customers’ lives.

The Role

As part of the Efekta’s AI & Analytics team your mission is to transform our product experience in innovative and impactful ways. You’ll be working closely with our Learning, Product, & Engineering teams to understand opportunities & challenges and deliver AI driven solutions, which we can prove make an impact on student learning.

Main Responsibilities

Contribute to the Efekta AI platform that enables data-informed learning for our students, from understanding student progress to recommending content and learning paths.
Build models using diverse learning signals (written, spoken, and behavioural data).
Apply Machine Learning across NLP, speech/audio, and user interaction data.
Help us create measurable business impact by working on data products.
Research and recommend new innovative ways AI can optimise our business operations.

We ask that you have

A proven track record of making an impact with Data Science
Experience building predictive models using user behaviour, sequence data, or time-series signals, ideally in real-world product environments.
Experience with machine learning frameworks (e.g. PyTorch, TensorFlow).
Experience using cloud environments (AWS, GCP, Azure)
Ability to work with engineering teams to productionise AI solutions

Other useful skills include

Comfortable taking ownership of loosely defined problems, translating open-ended questions into clear data science approaches and measurable outcomes.
Thrives in fast-moving, evolving environments, iterating quickly with incomplete data and adapting solutions as requirements and insights change.
Experience in developing data processing applications in Java/Scala/Python
Experience working with streaming data sources (e.g. Kinesis Streams or Apache Flink)

What we offer

Working in a multicultural global team with vibrant and energetic team of colleagues by your side
Comprehensive and supportive onboarding and further personal and professional development and career progression opportunities
A competitive salary and benefits package
Length of Service Recognition including paid sabbatical

To thrive at EF, you will

Have strong personal drive and energy
Be curious about our clients’ businesses and how our solutions can enable their success
Possess an entrepreneurial spirit with a nothing is impossible mindset
Excited by having ownership and autonomy
Enjoy working in a fast-paced results-driven environment
Be passionate about learning and language

Full-Stack Senior Software Engineer, GenAI Data Products and Platform (VP)

Opportunity

This is your chance to build the foundational systems for ‘Citi Assist’, a Generative AI assistant that will reach every Citi employee globally. You’ll join us on the ground floor, becoming a core builder on a high-visibility platform that sets the standard for how a global bank adopts this technology safely and at scale.

Here’s what makes this role unique: we know that data is the key to building a successful, safe, and scalable generative AI assistant. The difference between a good AI product and a great one isn’t just the model-it’s the testing, evaluation, and feedback loops that make it better every day.

As a data-focused full-stack engineer, you’ll help us craft the tools and systems that let us understand how Assist is performing, where it’s succeeding, and where it needs to improve. You’ll work across the stack, building everything from intuitive dashboards that surface insights to robust backend pipelines that process evaluation data at scale.

What you’ll do

Build the tools that make Assist great. You’ll design and build the testing, evaluation, and feedback systems that help us understand how our AI assistant is performing in the real world. This means creating tools for both our team and our users to provide feedback, analyse interactions, and measure quality.

Work with data across the full stack. You’ll build data pipelines that collect and process evaluation metrics, create visualisations that surface insights to the team, and design APIs that power our testing infrastructure. You’ll be equally comfortable writing SQL queries as you are building React components.

Own your features end to end. You’ll take responsibility from conception to production. That means understanding the problem we’re trying to solve, designing the right solution, building it, and measuring whether it’s working. You’ll drive your work forward with autonomy while keeping the team aligned.

Build with safety and quality in mind. For us, building safe, sound, and compliant systems is non-negotiable. You’ll help us establish the data practices and evaluation frameworks that ensure Assist meets our high standards for quality, safety, and regulatory compliance.

Set the technical direction. As a VP-level engineer, we expect you to influence how we approach problems. You’ll mentor other engineers, contribute to architectural decisions, and help establish best practices for how we work with data across the platform.

Be a great teammate. We expect you to be a leader in our engineering culture. That means offering thoughtful code reviews, unblocking your peers, sharing what you learn, and helping raise the bar for the whole team. We succeed together.

Skills & experience

Strong experience building and deploying production applications across the full stack
Proficiency in multiple languages, including Python and TypeScript/JavaScript (experience with Go or Java is a plus)
Deep experience working with data-whether that’s building data pipelines, designing analytics systems, or creating data-driven products
Experience building user-facing features with modern frontend frameworks like React, Vue, or Angular
Strong SQL skills and experience with relational databases like Postgres
Experience building backend services and APIs that handle data at scale
Comfort with containerised environments and cloud infrastructure (we use OpenShift/Kubernetes)
Strong understanding of CI/CD pipelines, testing frameworks, and automation
Experience with data visualisation tools and techniques

What matters most to us

A data-driven mindset. You believe that good data and rigorous evaluation are essential to building great products. You know how to instrument systems to collect the right data and how to turn that data into actionable insights.

A solutions-first approach. You find the best path to solve the problem, whether that’s building new infrastructure, leveraging existing tools, or changing how we think about the problem entirely. You’re pragmatic about trade-offs.

Technical leadership. You have strong opinions, loosely held. You can articulate your technical vision and bring others along with you, but you’re also open to being wrong and learning from your peers.

A focus on impact. You understand that our goal is to deliver value to users and make Assist better every day. You know when to move fast and when to invest in building things properly.

Clear communication and ownership. You take initiative, communicate proactively, and take responsibility for outcomes. You don’t wait for permission, but you keep stakeholders informed.

A collaborative spirit. You thrive in team environments where you can learn from others and help them grow. You see mentoring and knowledge-sharing as part of your role.

Bonus points for

Direct experience building evaluation or testing frameworks for AI/ML systems
Experience with LLM evaluation techniques, prompt engineering, or AI safety concepts
Experience with data pipeline tools like Apache Airflow, Dagster, or similar
Experience with analytics platforms, experimentation frameworks, or A/B testing infrastructure
Background in data science, analytics engineering, or similar data-focused roles
Contributions to open-source projects in the data or AI space
Experience working in highly regulated environments

Our tech stack

We work with Python, TypeScript, Go, and Java on the backend. Our frontend is built with TypeScript, React, and Next.js. We use Postgres for our database, run everything on Kubernetes (specifically Red Hat OpenShift), and our DevOps setup includes GitHub and CI/CD tools like Tekton and Harness.

Our team and mission

We’re the Common Platform Engineering team for GenAI, a central group in the Chief Technology Office. We’re a focused agile team that owns our work from idea to production. Our culture is built on a shared belief in engineering craftsmanship, backed by leadership that actually understands what that means. We’re on a journey to prove what’s possible inside a large organisation, and that means navigating some legacy while building the future. This isn’t a role for someone who wants everything to be perfect on day one. It’s for an engineer who wants to help us get there, influencing how we solve problems and raising our collective bar.

We have a dual mission. First, we’re building ‘Citi Assist’, the GenAI digital assistant for our colleagues. Second, we’re providing the platforms and guidance that enable the entire organisation to adopt GenAI safely and effectively.

This is not a typical banking job. You’ll build foundational technology that has a direct, positive impact on hundreds of thousands of people. You’ll have the executive support to tackle big problems and real autonomy to shape our solutions. Most importantly, you’ll join a passionate, collaborative team where we all learn from each other and push each other to do our best work.

What we’ll provide you

This is a unique role that will put you in the position to be part of a new venture and actively drive change. Every day there will be new challenges that will help you develop new skills that can drive your career.

By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as:

27 days annual leave (plus bank holidays)
A discretionary annual performance-related bonus
Private Medical Care & Life Insurance
Employee Assistance Program
Pension Plan
Paid Parental Leave
Special discounts for employees, family, and friends

Visit our Global Benefits page to learn more.

Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive.

Equal employment opportunity

Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.

View Citi’s EEO Policy Statement and the Know Your Rights poster.

Machine Learning Engineer - Foundation Models for Biology

About Prima Mente

Prima Mente is a frontier biology AI lab. We generate our own data, build general purpose biological foundation models, and translate discoveries into research and clinical outcomes. Our first goal is to tackle the brain: to deeply understand it, protect it from neurological disease, and enhance it in health. Our team of AI researchers, experimentalists, clinicians, and operators is based in London, San Francisco and Dubai.

Role focus - Foundation Models for Biology

You will play a pivotal role in designing, implementing, and scaling foundational AI models and infrastructure for multi-omics at massive scale. Your work will directly drive breakthroughs in scientific understanding and contribute to transformative applications in medicine and biology.

Key Tasks

Implement high-performance ML algorithms optimised for massive-scale, ensuring reliability, efficiency, and scalability.
Design, develop, and maintain robust experimentation pipelines enabling rapid iteration, precise evaluations, and reproducible research outcomes.
Refactor and scale prototype research code into clean, maintainable, and performant repositories suitable for production-grade deployments.
Create high-speed data processing workflows capable of efficiently handling large-scale datasets to accelerate experimentation and model development.
Experimental design, prioritising high impact experiments with the highest signal:noise ratio.

Expected Growth

In 1 month you will be responsible for running initial experiments with state-of-the-art machine learning models, reviewing and implementing cutting edge research papers, and optimizing existing code for efficiency and accuracy.

In 3 months you will directly own and have created a prototype model architecture, demonstrated significant algorithmic improvements, and contributed to scaling methods for large scale data ingestion and training.

In 6 months, you’ll have heavily contributed to the implementation of a high-performance version of a foundation model with key algorithmic optimizations that boost scalability and throughput, and published internal benchmarks demonstrating significant impact.

Who You Are

You want to redefine what’s possible at the frontier of AI and biology.

We don’t expect you to check every box. Strong applicants often have depth in some of these and interest in growing others.

Ideal Experience

Deep understanding of state-of-the-art machine learning methodologies and proven experience in translating them into practical solutions.
Solid foundation in distributed computing principles, parallel processing, and algorithmic efficiency.
Experience optimizing ML algorithms for performance, memory efficiency, and compute resource utilisation.
Deep expertise in modern ML frameworks and tools (e.g., PyTorch, JAX, TensorFlow).
Familiarity with state-of-the-art training, optimisation, and deploying large-scale models (7B+ parameters) and inference workflows.
Skilled in designing and implementing scalable data pipelines capable of rapid ingestion, transformation, and processing.
Skilled in clearly articulating complex ideas, effectively communicating why particular approaches succeed or fail, and providing insightful critical analyses.
Low level algorithm optimisation
- quantisation (8bit or lower)
- JIT compilation
- XLA/Mosaic/Triton/CUDA
Hardware optimisation (GPU/TPU/HPU)
Finetuning optimisation (QLora, QDora)
Large scale data above 2T tokens

Location

Based onsite in San Francisco, US or London, UK. We support O1 (US) and GTV (UK) visa applications.

Senior MLOps Engineer - FTC

About Allica Bank

Allica is the UK’s fastest growing company - and the fastest-growing financial technology (Fintech) firm ever. Our purpose is to help established SMEs, one of the last major underserved opportunities in Fintech.

Established SMEs are the backbone of local communities - representing over a third of our economy - yet have been largely neglected both by traditional high street banks and modern fintech providers.

Department Description

We’re building the next generation of intelligent financial tools for SMEs, starting with an AI-powered Treasurer. Our platform will give business owners real-time visibility across accounts, AI-native cashflow forecasting, and smart treasury optimisations - redefining how small and medium-sized businesses manage money.

We’re looking for a Senior Machine Learning Engineer to join us at the ground floor and has the autonomy to make a real-world impact. This is an opportunity to have a positive impact on UK SME’s and help shape the future of AI native financial services.

Role Description

As our ML engineer, you will:

Build and deploy ML and LLM-powered applications that deliver actionable financial insights and decision support.
Work end-to-end across the stack: rapidly prototype and iterate with product and design to bring new features to life.
Ensure models interpretability and explainability, so SMEs can understand the “why” behind the insights.
Develop guardrails and fail-safes to guarantee AI outputs are trustworthy in high-stakes financial contexts.

Personal Attributes & Experience

We strongly value talent, agency, curiosity, and hunger.
Strong technical ability in machine learning, NLP, or large language models.
Hands-on experience with Python, PyTorch/TensorFlow, and OpenAI SDK (or similar).
Strong knowledge of Classification and Time series models.

Bonus points for:

Experience shipping LLM applications in production.
Contributions to ML/AI projects and/or a portfolio of ML projects you’ve worked on.
Achievements in competitive programming, STEM olympiads, or other indicators of exceptional technical ability.
Peer-reviewed publications.

Please note: This is a 12 month fixed term role with possibility to extend longer.

Working at Allica Bank

At Allica Bank we want to ensure our employees have the right tools and environment in which to succeed in their role and in support of our customers.

Our employees are at the heart of everything we do, so our benefits are designed with you in mind:

Full onboarding support and continued development opportunities
Options for flexible working
Regular social activities
Pension contributions
Discretionary bonus scheme
Private health cover
Life assurance
Family friendly policies including enhanced Maternity & Paternity leave

Don’t tick every box?

Don’t worry if you don’t have all the skills or requirements listed on the job description. If you think you’ll be a good fit, we’d still love to hear from you!

Flexible working

We know the ‘9-to-5’ isn’t right for everyone. That’s why Allica Bank is fully committed to flexible and hybrid working. Please let us know what is best for you and, if we can, we will do our best to accommodate.

Diversity

We’re a diverse bunch here at Allica, with all kinds of experiences, backgrounds and lifestyles. Our openness and differences make us stronger, and we want everybody to feel comfortable bringing as much of themselves to work with them as they like.

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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.