Senior Python Engineer - Equities/Derivatives/Risk Platforms (Electronic Trading)

 Senior Machine Learning Engineer (AI / LLM Systems)

Remote (United Kingdom) | Permanent | Flexible compensation + equity

We’re working with a well-established, tech-led business that is building a new AI product focused on real-world tasks, workflows, and decision-making.

This is a small, high-calibre team building systems where model capability is transformed into reliable, production-grade ML systems, with a strong emphasis on ownership, iteration, and real-world performance.
The product focuses on:

• Long-running AI workflows

• Persistent context across interactions

• Multi-step reasoning and task execution

• Integration with external tools and systems

The core challenge is designing ML systems that can behave reliably in production, even when model outputs are inherently non-deterministic.

The Role

This role sits at the core of the ML layer powering the product.
The focus is on designing and operating systems that enable:

• ML models to run reliably in production

• End-to-end pipelines from training to inference

• Continuous evaluation and iterative improvement

• Systems that perform consistently under real usage conditions

You’ll be working on:

• Training, inference, and evaluation pipelines

• LLM-based systems and agent-style workflows

• Debugging model behaviour using real-world signals

• Optimising performance across latency, cost, and reliability

• Production monitoring, logging, and system stability

What They Care About

The hiring bar is centred around real production ML experience:
Whether you have:

• Shipped ML systems used by real users

• Owned ML systems end-to-end in production

• Worked with modern LLMs beyond simple API integration

Your exposure to practical challenges such as:

• Model behaviour debugging and failure analysis

• Latency, throughput, and cost optimisation

• Monitoring, observability, and evaluation frameworks

• Scaling ML systems in production environments

Tech Environment

• Python (core ML and backend language)

• PyTorch / modern ML frameworks

• LLM ecosystem (OpenAI, Anthropic, etc.)

• GPU-based training and inference

• Docker and Kubernetes

• AWS, Azure or GCP

The emphasis is on how you build and operate ML systems, rather than specific tools.

Team & Working Style

• Fully remote-first, work from anywhere

• Small, highly capable engineering team

• Strong emphasis on ownership and delivery

• Fast iteration cycles with real user feedback

• Comfortable working in evolving systems and making pragmatic decisions 

 Full Stack Engineer (AI Systems) – Remote (Global)

We’re working with a well-established, tech-led business that is building a new AI product focused on handling real-world tasks, workflows and decision-making.

This is a small, high-calibre team building systems where AI capability is translated into reliable, structured product behaviour, with a strong emphasis on execution and consistency in real usage.

The product focuses on:

• Long-running workflows
• Persistent context
• Multi-step task execution
• Integration with external systems
• The core challenge is designing systems that can apply model capability in a structured and reliable way, even when behaviour is non-deterministic.

The Role

This role sits at the product layer, connecting backend systems, AI capability and the end-user experience.

The focus is on building systems that enable:

• AI workflows to run end-to-end within the product
• User-facing features that behave consistently under real usage
• Real-time interaction with AI-driven systems

You’ll be working on:

• End-to-end product features across frontend and backend
• Agent workflows, including planning, tool usage, failure handling and recovery
• Integration of LLMs, memory and external systems into user-facing flows
• Real-time interactions, including streaming responses and partial updates
• Reliability and fallback behaviour within the product experience

What They Care About

The hiring bar is centred around real production experience:

• Whether you have built and shipped features end-to-end
• Your experience working with AI-powered applications beyond simple API usage
• Your ability to handle practical challenges such as:
• ambiguity in product requirements
• failure and recovery in AI workflows
• maintaining consistent behaviour in real-world usage

Tech Environment

• Next.js / React
• Python and Node.js
• SQL / NoSQL databases
• LLM ecosystem (OpenAI, Anthropic, etc.)
• Docker and Kubernetes
• AWS, Azure or GCP is fine

The emphasis is on how you design and ship product features, rather than any single technology.

Team & Working Style

• Remote-first
• Small, highly capable engineering team
• Strong emphasis on ownership and delivery
• Comfortable working across frontend, backend and evolving systems 

Senior Python Backend Engineer (AI / LLMs)
Remote (United Kingdom) | Permanent | Flexible compensation + equity

We’re working with a well-established, tech-led business that is building a new AI product focused on handling real-world tasks, workflows and decision-making.

This is a small, high-calibre team building systems where AI capability is translated into reliable, structured product behaviour, with a strong emphasis on execution and consistency in real usage.

The product focuses on:

• Long-running workflows

• Persistent context

• Multi-step task execution

• Integration with external systems

The core challenge is designing systems that can apply model capability in a structured and reliable way, even when behaviour is non-deterministic.

The Role
This role sits in the backend layer that connects models to the product.

The focus is on designing and operating systems that enable:

• AI workflows to run end-to-end

• APIs to serve AI features consistently

• Systems to perform reliably under real usage conditions

You’ll be working on:

• Inference pipelines and orchestration layers

• Backend services for AI-driven workflows

• Performance considerations such as latency, throughput, batching and caching

• Monitoring, logging and production reliability

What They Care About
The hiring bar is centred around real production experience:

• Whether you have owned backend systems end-to-end in production

• Your experience working with AI systems beyond simple integration

• Your exposure to practical challenges such as:

• latency and throughput optimisation

• monitoring and observability

• debugging and incident handling

• scaling systems in production environments

Tech Environment

• Python (primary backend language)

• Node.js

• SQL / NoSQL databases

• LLM ecosystem (OpenAI, Anthropic, etc.)

• Docker and Kubernetes

• AWS, Azure or GCP is fine

The emphasis is on how you design and run systems, rather than the specific cloud used.

Team & Working Style

• Fully remote-first, work from anywhere

• Small, highly capable engineering team

• Strong emphasis on ownership and delivery

• Comfortable working in evolving systems and making pragmatic decisions.

• Rebuild and enhance existing CRM features within a live production system
• Work end-to-end across Front End and Back End systems
• Partner closely with engineering leadership to understand product direction and priorities
• Turn business problems into pragmatic technical solutions
• Ship iteratively, build, share, improve
• Contribute to technical direction as the team scales

• Senior/Staff-level Full Stack Engineer with strong product mindset
• Experience working in brownfield systems and modernising existing platforms
• Comfortable operating beyond code, able to engage with the business and explain trade-offs
• Strong communication skills and confidence working with non-technical stakeholders
• Pragmatic approach: focused on outcomes, not perfection first time

• React (modern Front End development)
• .NET (back-end/APIs)
• Exposure to Agentic AI/AI-assisted development (eg Claude Code)
• Cloud experience: Azure and/or AWS

The Role

As a Golang Engineer, you will be part of an agile engineering team focused on designing and developing Golang‑based microservices and APIs. You will contribute across the full software development lifecycle, ensuring high‑quality, scalable, and resilient backend services.

Key Responsibilities

• Lead and implement engineering best practices including branching strategy, coding standards, BDD/TDD, CI/CD, and DevOps.

• Contribute across the full SDLC: design, development, testing, release, and troubleshooting.

• Participate in all Scrum ceremonies: backlog refinement, sprint planning, daily stand-ups, sprint reviews, and retrospectives.

• Support and mentor team members, sharing knowledge and driving innovative solutions across platforms.

Your Profile

Essential Skills & Experience

• Excellent knowledge of Golang.

• Strong experience building microservices and RESTful APIs.

• Experience with Kafka.

• Experience with SQL/NoSQL databases.

• Solid backend engineering experience.

• Strong leadership and mentoring capability.

• Experience working in Agile (Scrum/Kanban) environments.

• Experience with ALM/JIRA.

• Good understanding of DevOps and CI/CD practices.

• Working knowledge of Docker and Kubernetes.

• Experience developing scalable, resilient software and writing high‑quality code.

• Strong problem‑solving, analytical, and debugging skills.

• Comfortable working in fast‑paced, collaborative coding environments.

Desirable Skills

• Good understanding of BDD/TDD.

• Hands‑on experience with UNIX commands.  

 Senior Backend Engineer – Java / Spring / Golang / Azure

London • Hybrid (2–3 days onsite) • Permanent
We’re looking for an experienced Java Developer with strong hands‑on experience across Java, Spring, Golang, and Azure to join a global consultancy that delivers large‑scale IT services and digital transformation for enterprise clients worldwide.

The Role

You’ll be joining an engineering team focused on building high‑quality backend services and cloud‑native solutions. The environment is modern and distributed, with a strong emphasis on clean design, scalability, and reliable delivery.

What You’ll Be Doing

• Building backend services using Java, Spring, and Golang

• Developing cloud‑native solutions on Azure

• Working within a microservices‑driven environment

• Contributing to architecture, design decisions, and code quality

• Collaborating closely with other engineers in a hybrid London setup

What You’ll Need

• Strong commercial experience with Java and Spring

• Good working knowledge of Golang

• Solid cloud experience with Microsoft Azure

• Understanding of microservices, distributed systems, and modern backend engineering

• Ability to work 2–3 days per week onsite in London 

 Software Engineer in Test (4+ yoe)

Dublin-based
"Connect week" working policy - 3 weeks remote / 1 week onsite)
Contract / up to €320/day

About the Role

We are hiring a Software Engineer in Test to join our growing engineering team and help build high‑quality, scalable applications used across the financial services domain. This role is ideal for someone with 4+ years of QA automation experience, strong fundamentals in modern testing frameworks, and a passion for engineering excellence.

You will work closely with developers, product owners, and QA colleagues to design test strategies, build automation frameworks, and ensure reliable, customer‑focused delivery.

Key Responsibilities

• Design, implement, and maintain automated tests across UI, API, and integration layers.

• Contribute to the QA automation strategy and follow best practices in test design and maintainability.

• Collaborate with engineering teams during design, development, and code review stages.

• Participate in requirement analysis, test planning, estimation, and test reporting.

• Work with CI/CD pipelines to integrate automated tests into continuous delivery processes.

• Support test data setup, environment readiness, and defect triage.

• Ensure high‑quality releases through functional, regression, and acceptance testing.

• Work effectively within an Agile/Scrum environment.

Required Experience & Skills

• 4+ years of hands‑on experience in software testing and automation.

• Strong automation experience with Selenium, REST Assured, Cypress or Playwright.

• Solid programming experience in Java (or similar languages such as Python).

• Good understanding of REST APIs, JSON, and API validation.

• Experience with GitHub, Jenkins, or similar CI/CD tooling.

• Strong SQL skills and experience working with relational databases.

• Familiarity with Agile methodologies and modern SDLC practices.

• Strong analytical and problem‑solving skills.

Nice to Have

• Exposure to cloud platforms such as AWS, including serverless technologies.

• Experience working with large data sets or data‑driven testing.

• Previous experience in Financial Services (not mandatory).

• Knowledge of test data strategies and environment management.

What You’ll Get

• Career development within a highly collaborative engineering culture.

• Opportunities to work with modern automation and cloud technologies.

• Hybrid working, excellent benefits, and ongoing learning support.

• The chance to contribute to high‑impact products used across the financial industry. 

Staff Engineer – Java
London, UK (Hybrid – 3 days per week in office + occasional site visits)
Permanent
Full‑time, 40 hours per week
Up to £80,000 + benefits

About the Role

We are seeking a highly skilled Staff Engineer with strong hands‑on expertise across Java (17+), Spring Boot, Cloud Engineering, Automation Testing, CI/CD, and Kafka. This is both a delivery and technical‑leadership position, requiring excellent engineering fundamentals combined with design/architecture experience.

You’ll work closely with cross‑functional teams to build scalable, modern, cloud‑native systems that support large‑scale digital platforms. The role includes mentoring, setting engineering standards, and championing best practices.

Key Responsibilities

• Design, build and maintain high‑quality backend services using Java 17+ and Spring Boot.

• Lead technical design discussions and contribute to architecture decisions.

• Implement strong automation testing practices (unit, integration, contract, performance).

• Develop cloud‑native solutions on Azure or AWS using CI/CD and DevOps tooling.

• Build event‑driven systems using Kafka, including schema evolution and resilient consumer patterns.

• Mentor engineers and support best practice across coding, testing, and delivery.

• Contribute to roadmap planning, technical direction, and continuous improvement initiatives.

• Promote clean architecture, secure coding, observability, and engineering excellence.

Essential Skills & Experience

• Java 17+, Spring Boot, and modern backend engineering.

• Strong automation testing experience.

• Solid experience with Kafka and event‑driven architectures.

• Cloud engineering with Azure or AWS, CI/CD pipelines, containers, IaC exposure.

• Strong understanding of architecture patterns: SOLID, Clean/Hexagonal Architecture, CQRS, resilience patterns.

• Experience with DevOps principles and continuous delivery environments.

• Exposure to mentoring/coaching other engineers.

• Strong communication skills across technical and non‑technical audiences.

Desirable Experience

• Experience in large‑scale digital platforms or complex enterprise environments.

• Test automation frameworks (Playwright, Selenium, etc.).

• Experience with NoSQL, caching (Redis), or enterprise integrations.

• Familiarity with Java‑adjacent tooling or light frontend literacy (TypeScript/React).

London‑based (City location)
4 days onsite / 1 day from home
£175/day via PAYE (holiday pay, sick pay & pension included)

We are supporting our client, a global market‑leading financial information & research organisation, known for its high‑calibre analytics teams and advanced data environment. They are expanding their European energy analytics capability and require a data‑driven analyst to support their gas‑market research function during a maternity cover period.

This role sits within a specialist European gas analytics group, contributing to the modelling, scripting and data‑quality foundations behind their energy‑market insights. Although the team covers gas‑market fundamentals, previous experience in the gas or LNG sector is not mandatory but rather desirable. What matters most is strong Python capability, comfort with complex datasets, and the ability to collaborate with analysts to improve forecasting tools and workflows.

This is a highly hands‑on position where you’ll refine models, enhance scripts, test data processes, and help shape analytical outputs in a fast‑paced, intellectually curious environment.

Essential Skills

• Strong Python coding experience, including testing, debugging and improving existing scripts.

• Ability to work confidently with large, multi‑source datasets — cleaning, validating and structuring data.

• Familiarity with statistical or time‑series techniques (forecasting, regressions, pattern identification).

• Strong analytical mindset, able to challenge assumptions and extract meaningful insights from noisy data.

• Clear communication skills and the ability to work closely with subject‑matter experts.

• Excellent problem‑solving ability and a proactive, curious approach.

• No prior gas‑market or energy‑sector experience required — open to analysts from any data‑focused background.

Responsibilities

• Maintain, refine and run forecasting models for European gas‑market fundamentals.

• Improve existing Python scripts and develop new ones to support analytical workflows.

• Ensure data quality, structure and consistency across various datasets used in forecasting.

• Provide quantitative insight and technical input to ongoing analytical work.

• Assist with process mapping, documentation and continuous improvement initiatives.

• Conduct rigorous testing, debugging and optimisation of analytical tools and scripts.

• Proven ability to interpret and translate regulatory, tax, or legal documentation into clear business and functional requirements.
• Hands-on experience with e-Invoicing programmes and digital reporting processes.
• Strong background in producing documentation across the full project lifecycle (Scope, BRDs/FRDs, UAT support).
• Experience with e-Invoicing formats such as UBL, Factur-X, XML.
• Solid understanding of Accounts Payable (AP) and Accounts Receivable (AR) workflows.
• Ability to collaborate with technical teams to shape compliant solutions, including system design considerations and end-to-end process alignment.
• Comfortable analysing complex, multi-jurisdictional regulatory frameworks and assessing operational impacts.

• Analyse and interpret global e-Invoicing regulations and transform them into requirements for business and technology teams.
• Engage senior stakeholders to validate regulatory impacts, gather needs, and influence solution direction.
• Document as-is and future-state invoicing and reporting processes.
• Work closely with engineering, data, and systems teams to develop and implement compliant solutions.
• Support UAT, ensuring regulatory alignment and business accuracy across all deliverables.
• Monitor regulatory updates and communicate potential system and process implications.
• Take strong ownership of deliverables as a senior individual contributor, with the opportunity to evolve into a lead role as the team scales.

Workday Finance Consultant
Permanent
London-based (Hybrid with 3 days in the office)
Salary DOE + comprehensive benefits package

Our client is expanding their UK consulting and delivery capability as part of continued investment in digital finance transformation. With several new projects secured across the region, this position represents a key hire within a growing Workday practice, offering the opportunity to shape finance system architecture for large, complex organisations.

This is an ideal role for an experienced Workday Finance Consultant who enjoys working across configuration, solution design, and client-facing problem-solving. You will contribute to the optimisation of finance processes, implement scalable Workday Financials modules, and support clients through end-to-end transformation.

Essential Skills

• Strong hands-on experience with Workday Financials, ideally across multiple modules (GL, AP, AR, Assets, Banking & Settlement, Expenses, Procurement)

• Deep understanding of Workday configuration, including Business Processes, Security, and Reporting

• Ability to articulate system design reasoning, including:

  • Architectural and process-level trade-offs

  • Data structures, reporting logic, and configuration impacts

  • Scalability of finance operations across multi-entity environments

• Experience collaborating on:

  • Integrations with ERP, Payroll, Banking or Tax systems

  • Financial reporting, dashboards, and analytics

  • Data migration, reconciliations and validation activities

• Strong grounding in accounting principles (GAAP/IFRS)

• Excellent communication skills with both technical teams and finance leadership

Responsibilities

• Lead and support the configuration of Workday Financials modules to meet client requirements

• Run workshops with finance stakeholders to capture requirements across R2R, P2P, and O2C process areas

• Design and deliver scalable Workday solutions in partnership with Solution Architects

• Manage configuration activities, Business Processes, approvals, and internal controls

• Support data conversion, testing cycles, defect resolution, and cutover planning

• Produce financial reports, dashboards, and analytics for leadership teams

• Provide training, knowledge transfer, and documentation to key users

• Ensure compliance with regulatory frameworks including SOX, GAAP, IFRS

• Play a key role in post-go-live stabilisation and ongoing optimisation

Working Pattern

• Hybrid working: 3 days onsite (London)

• Agile delivery environment with a focus on measurable impact and client value

• Close collaboration with programme managers, finance leads, and cross-functional teams

Desired Background

• Experience in financial transformation programmes or Workday implementations

• Exposure to multi-currency and multi-entity environments

• Understanding of audit, compliance, and financial controls

• Experience in the UK financial services or broader finance sector is an advantage