About the Business

Quilter plc is a leading wealth management business, helping to enable brighter financial futures for every generation.

Quilter oversees £126.3 billion in customer investments (as of August 2025). It has an adviser and customer offering spanning financial advice, investment platforms, multi-asset investment solutions, and discretionary fund management. The business is comprised of two segments: Affluent and High Net Worth.

Affluent encompasses the financial planning business, Quilter Financial Planning, the Quilter Investment Platform and Quilter Investors, the multi-asset investment solutions business.

High Net Worth includes the discretionary fund management business, Quilter Cheviot, together with Quilter Cheviot Financial Planning - offering a highly personalised service to private clients, charities, trustees, and professional partners. Quilter Cheviot has presence throughout the UK, Ireland and Channel Islands.

At Quilter we never stand still. Our foundations are rooted in our extraordinary expertise, which is trusted by hundreds of thousands of customers, but we have great ambitions to stay one step ahead and make an even greater difference to the people and communities we serve, including our colleagues.

Our business is transforming, continually modernising, and becoming even more customer centric. So, if you want to be bold in the pursuit of your ambitions, bring new ideas, and challenge and evolve what we do, it’s the perfect time to join us!

About the Role

Level : 4

Department: COO

Location : Southampton or London

Contract type : Permanent

The new role sits within AI Centre of Excellence department under Chief Operating Office (COO).

The key accountabilities for the role are as follows:

• AI/ML Solution Delivery: Hands on end-to-end development and deployment of both traditional and GenAI-based machine learning models, including discovery analytics, experimental design, model development, benchmarking, enhancement and deployment.

• LLM & RAG Integration: Design and implement new Retrieval-Augmented Generation (RAG) pipelines and enhance existing frameworks, applying advanced techniques in data chunking/splitting, vectorization, knowledge graph representation (GraphRAG), and query retrieval and evaluation.

• Model Evaluation & Prompt Engineering: Design and execute experiments to benchmark and evaluate model performance using both classical metrics (precision, recall, F-score) and GenAI-specific techniques (LLM-as-a-Judge, ROUGE, BERTScore). Develop and refine prompts to optimise GenAI model reasoning, accuracy, and overall effectiveness.

• Cross-Functional Collaboration: Work closely with business partners, stakeholders, and technical teams (data engineering, platform engineering) to translate business requirements into impactful AI solutions.

• Research & Innovation: Stay abreast of emerging tools, techniques, and best practices in LLMs, RAG, GenAI, model development & evaluation techniques and proactively apply new knowledge to drive innovation.

About You

Qualifications

• Advanced degree (MSc or PhD) in Machine Learning, Natural Language Processing, Artificial Intelligence, or a related field.
• Proven track record of delivering AI solutions from research to production in real-world applications.

Knowledge

• Strong foundation in machine learning algorithms and deep learning concepts including Neural Networks and Transformer-based architectures.
• Knowledge in developing and deploying scalable models on Databricks, Azure, and AWS, leveraging tools such as FastAPI and Docker.
• Proficient in model tracing and observability for LLM in production and implementing evaluation frameworks for model quality and reliability.
• Strong understanding of software engineering best practices, including version control, testing, and CI/CD for production-ready AI systems.
• Domain expertise in financial services or other regulated industries is highly desirable.

Experience

• Strong experience in AI/ML research and development, specializing in deep learning-based NLP, Information Retrieval, and Generative AI.
• Proven expertise in RAG/GraphRAG pipeline development and evaluation, including advanced retriever-reranker techniques.
• Experience in building knowledge bases and ontologies is highly desirable.
• Extensive experience in defining and implementing evaluation metrics for GenAI systems such as Recall, Precision, NDCG, LLM-as-a-Judge, BERTScore, BLEU score, and hallucination detection.
• Provide mentorship and technical guidance to junior AI Scientists

Skills

• Strong proficiency in Python and experience with frameworks such as NumPy, Pandas, Scikit-learn, and modern Generative AI libraries (e.g., LangChain, LlamaIndex, Azure AI Foundry).
• Hands-on experience with PyTorch, and leading LLM libraries such as Hugging Face, LangChain, LangGraph, and LlamaIndex.
• Skilled in hypothesis formulation, defining evaluation metrics, conducting literature reviews, and building reproducible prototypes with critical outcome analysis.
• Rapid Experimentation Mindset: Comfortable with a fail-fast, learn-fast approach, iterating quickly to validate ideas and accelerate innovation.
• Exceptional problem-solving skills and a strong passion for innovation.
• Excellent communication and collaboration abilities, thriving in cross-functional environments.

Inclusion & Diversity

We value diversity and strive to promote inclusivity in all aspects of our culture. We believe in equal opportunities for all, ensuring that no applicant encounters less favourable treatment based on anything but their skills, qualifications, experience, and potential. We celebrate the unique contributions of a diverse workforce and create a respectful, nurturing environment where every colleague can thrive.

Values

Do the right thing: We act with integrity and are proudly committed to going above and beyond in service of our clients and the support we provide our communities.
Always curious: We continuously seek new ideas and knowledge so we’re one step ahead of our clients’ needs. We look for inspiration everywhere and encourage experimentation, recognising that this is how we create brilliant solutions for brighter futures.
Embrace challenge: We aim high to transform our potential into meaningful outcomes. With ambition as our driving force and a steadfast commitment to growth, we succeed for the good of every generation.
Stronger together: Combining our diverse talents, we accomplish more collectively than we ever could do alone. We speak openly, actively listen, and support each other, and constructively challenge and embrace new ideas. We seek empowerment and demonstrate ownership and trust, with the confidence to make impactful decisions.

Core Benefits

Holiday: 182 hours (26 days)

Quilter Incentive Scheme: All employees are eligible to participate in incentive scheme, to incentivise business performance and their contribution.

Pension Scheme: A non-contributory company pension scheme that can be boosted through personal contributions.

Private Medical Insurance: Single cover as standard with options to increase cover to include your partner or children.

Life Assurance: 4x your salary.

Income Protection: 75% of salary, less state benefits, payable after 26 weeks of absence.

Healthcare Cash Plan: Jersey employees only

In addition to our core benefits, we offer a range of flexible benefits to UK employees that you can choose from and pay for conveniently via a salary deduction.

Application Engineer, Linux, Windows, ION, PowerShell, 12 months rolling

This is a highly technical, front‑office-aligned position supporting complex, low‑latency electronic trading environments on a global scale.

The Team

• Global production support team covering London, New York, Montreal, Singapore, and Mumbai
• Responsible for over 800 Windows and Linux servers supporting Rates & Credit trading platforms
• Manages connectivity to major electronic trading venues including CME, Eurex, ICE, MTS, Brokertec, Bloomberg, Tradeweb, MarketAxess, and Euronext
• Primary responsibility for global support of the ION platform, in‑house pricing systems, algorithmic trading components, and STP flows
• Production systems located mainly in London, New York, Singapore, and Tokyo
• Operates a follow‑the‑sun support model

The Role

You will take ownership of a set of applications and technologies within the eTrading environment, becoming a subject‑matter expert while ensuring platform stability, performance, and ongoing improvement.

The role involves a shift‑based rota covering 7:00am to 6:00pm, with occasional - 50% of your working week onsite.

Key Responsibilities

• Day‑to‑day production management including monitoring, capacity management, incident resolution, and change management
• Rapid and efficient resolution of production issues, minimising impact to trading desks and internal users
• Close collaboration with developers, business analysts, architects, infrastructure teams, and external vendors
• Support implementation and rollout of upgrades and enhancements to existing services
• Design, set up, and improve platforms with a focus on resilience, high availability, performance, and low latency
• Coordinate and manage changes with trading venues, ECNs, and third‑party providers
• Plan, schedule, implement, and document release and change activities
• Maintain high‑quality documentation and share knowledge across the global team

Essential Skills & Experience

• Strong experience supporting production systems in electronic trading environments
• Excellent Linux and Windows operating system expertise
• Broad IT background covering servers, networks, and firewalls
• Ability to analyse CPU, memory, network/NIC, and multicast performance
• Scripting experience in one or more of: PowerShell, Shell, Python, SQL
• CI/CD and automation experience with Jenkins, Ansible, and Artifactory
• Application support experience with Java, C++ and/or .NET
• Proven ability to deliver medium‑scale technical projects

Desirable Skills

• Operating system performance tuning
• Experience with ION trading technology
• Multicast messaging expertise
• Monitoring tools such as Geneos or Zabbix
• Log and data analysis using Splunk

Application Engineer, Linux, Windows, ION, PowerShell, 12 months rolling

McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.

Quantitative Developer - London

Work model: Hybrid (4 days in office)
Level: 3 years’ experience

We are working with a technology-led hedge fund spin-out building a next-generation portfolio management and analytics platform used across multiple asset classes.

The role sits within a Cross-Asset Development team focused on building and enhancing a scalable front-office platform supporting trading, risk, and analytics functions.

This is a highly engineering-focused Quant Developer position, combining software development with exposure to financial markets and derivatives.

Role Summary

You will be responsible for developing and maintaining core components of a production trading and analytics platform, working closely with quants, traders, and product stakeholders.

The role is primarily focused on platform engineering rather than quantitative research or model development.

Key Responsibilities

• Develop and enhance core platform services in C#
• Implement analytics and model components into production systems
• Support and extend a proprietary analytics library in C++
• Build supporting tools and scripts in Python
• Work across distributed, cloud-based infrastructure
• Provide production support across multiple asset classes, with a focus on rates

Technology Environment

• C# (primary platform language)
• C++ (quant analytics library)
• Python (calibration, tooling, automation)
• SQL / data tools
• Cloud-based distributed computing (AWS-style environment)
• CI/CD and version control tooling
• Market data / trade ingestion systems

Essential:

• 3+ years’ experience in front-office or trading-focused development
• Strong coding ability in C# and/or Python
• Solid software engineering fundamentals (data structures, algorithms, design principles)
• Exposure to interest rate derivatives or broader fixed income markets
• Strong analytical mindset and problem-solving ability
• Degree in a technical or quantitative discipline

Desirable:

• C++ experience
• Exposure to FX, Credit, Equities or Commodities derivatives
• Experience working directly with traders or portfolio managers

As a Senior Full stack Engineer for the SDK team, you will join a talented and collaborative team dedicated to building resilient, scalable, and delightful systems and experiences for our customers. Leveraging your expertise across both frontend and backend technologies, you will work on impactful projects that shape how we solve complex identity verification challenges in an online world.

You will play a key role in delivering high-quality, polished products by combining robust system design, seamless user interfaces, and backend reliability.

This role offers an exciting opportunity to combine frontend and backend expertise to create impactful solutions that address the growing demand for secure and seamless online identity verification.

Responsibilities:

The SDK team develops a variety of web and native SDKs, which are embedded into customer applications to help users prove their identity. They care deeply about image capture quality, accessibility, customization and reducing friction for end-users.

As a Senior Full stack Engineer for the SDK team, you will:

Product Development

• Collaborate closely with product designers, product managers, and engineers to deliver end-to-end experiences that delight customers.
• Design, build, and maintain robust systems, from intuitive frontends using type script and frameworks like React to scalable backends powering public APIs and data processing pipelines.
• Prototype and iterate solutions to ensure they are impactful, polished, and meet our performance, reliability, and accessibility standards.
• Support multiple devices, browsers, and platforms while adhering to accessibility best practices.

Privacy, Security, and Quality

• Champion privacy and security in every product, ensuring they meet the highest standards of customer data protection.
• Write automated tests, develop resilient code, and design robust systems to improve reliability and safety.

Ownership and Collaboration

• Take ownership of projects from ideation through system design to execution and delivery.
• Collaborate across teams to build scalable solutions that address both front-end and back-end challenges.

Ownership and Collaboration

• Foster a culture of inclusivity, collaboration, and continuous improvement through participation in retrospectives and feedback.
• Guide and mentor engineers, helping them manage technical debt, plan refactors, and improve engineering practices.

What We Value

• A great understanding of modern frontend technologies (e.g., TypeScript and React) and backend technologies (e.g., Python, Kotlin, Node.js, REST APIs, data pipelines).
• A strong ability to design and build for scalability, reliability, and performance across the stack.
• A commitment to privacy and security as core principles in product design and development.
• A proactive approach to continuous learning and improvement, paired with a desire to mentor and support others.
• A deep appreciation for trust, ownership, and rapid iteration as we solve challenging problems in identity verification.

Qualifications:

• Minimum 4 years of professional experience in software engineering, with significant exposure to both backend and frontend development.
• Proven expertise in at least one modern front-end framework (e.g., React) and backend technologies (e.g., Kotlin, Python, Ruby, Node.js, REST APIs).
• Demonstrated ability to design and implement scalable, secure, and high-performing systems across the stack.
• Strong knowledge of software development best practices, including automated testing, code reviews, and agile methodologies.
• Must be able to lawfully work within Portugal and have unrestricted work authorization for Portugal.

Preferred Qualifications

• A degree in Engineering, Computer Science, Mathematics, or a related field.
• Experience building accessible and user-friendly interfaces while adhering to privacy and security standards.
• Familiarity with cloud infrastructure and CI/CD pipelines.
• Strong communication and collaboration skills, with a proven ability to mentor and guide less experienced engineers.
• Passion for solving challenging problems in identity verification or a related domain.
• This role requires a combination of technical expertise, collaboration, and a commitment to building secure, scalable, and user-focused solutions.

Tech Stack

We are technology agnostic at Entrust. We are not looking for you to have experience in all these technologies. If you’re open to learning, please apply.

Below is a detailed breakdown of all the technologies we use.

• Backend: mostly Kotlin, Python and Ruby (you don’t need to excel all three.)
• Frontend: React and Typescript
• Kubernetes and Docker for deployment
• AWS for underlying infrastructure (Aurora, Redis, Dynamo, S3, SNS, SQS, CloudFront, API Gateway, etc.)
• Gitlab for software lifecycle management.

We’re hiring in either London or Lisbon!

Lisbon office:

At Entrust, we have a distributed workforce. This role follows the location specified in the job description: hybrid for Lisbon-based employees or fully remote for those outside Lisbon.

London office:

If you’re based in our London, UK office, you’ll follow a hybrid work model, which requires being in the office three days per week or fully remote for those outside London.

About the Company A multidisciplinary agency delivering creative, print, project management and installation solutions for global brands. The business specialises in large-format print, retail graphics and end-to-end campaign delivery—from concept through to installation. Why This Role Matters As the business continues to push boundaries with new technologies and production methods, this role will play a key part in building next-generation digital solutions that enhance how global retail campaigns are designed, managed and delivered. The Role This is a standalone Full Stack Software Developer role, offering the opportunity to shape and build internal and client-facing systems from the ground up. You’ll work across the full development lifecycle, with the autonomy to define architecture, deliver scalable solutions, and lay the foundations for a future engineering team. Key Responsibilities • Design, develop and maintain full stack applications using Python and Microsoft .NET • Build and optimise cloud-based solutions within Microsoft Azure • Collaborate with stakeholders across design, production and project teams to translate business needs into technical solutions • Develop tools and systems that support end-to-end campaign delivery, workflow automation and operational efficiency • Ensure code quality, performance, scalability and security across all solutions • Contribute to technical strategy, architecture decisions and future team growth Required Skills & Experience • Strong experience in full stack development using Python and Microsoft .NET • Hands-on experience with Microsoft Azure (e.g. app services, cloud architecture, deployment) • Experience building scalable, production-grade applications • Strong understanding of APIs, system integrations and modern software architecture • Ability to work independently in a standalone role with high ownership • Strong communication skills and ability to work cross-functionally What’s on Offer • Opportunity to build and lead a future development function • High-impact role working with global brands and next-generation retail solutions • Autonomy to shape technical direction and architecture • Collaborative, creative environment within a growing, forward-thinking business

£550–£650 per day | Outside IR35 | 6 Month Contract | Remote Overview An exciting opportunity has arisen for a Senior DevOps Engineer to join an established project delivering within a modern, cloud-first environment. You’ll be joining a lean, high-performing team, where DevOps is central to delivery not an afterthought. This role offers a high level of ownership, with the opportunity to shape infrastructure, improve reliability, and influence engineering best practices across the wider team. We’re looking for someone with deep Azure and Terraform expertise, who is comfortable operating in a hands-on capacity, while also mentoring others and driving improvements across CI/CD, observability, and security. Role & Responsibilities Design, build, and manage Azure infrastructure using Terraform, including modules, state management, and pipelines Develop and maintain CI/CD workflows (GitHub Actions, Azure DevOps or similar) Improve platform reliability, observability, and security across environments Take ownership of infrastructure and deployment processes within a fast-moving delivery team Collaborate closely with engineers to embed DevOps best practices and scalable patterns Mentor team members on infrastructure, automation, and platform engineering principles Identify and address performance bottlenecks, risks, and areas for improvement Contribute to a culture of continuous improvement and automation-first thinking Skills and Experience Experienced DevOps Engineer Strong hands-on experience with Terraform and Azure (AKS, networking, identity, storage) Solid experience building and managing CI/CD pipelines, ideally within Azure DevOps Strong scripting capability (Bash, Python, or PowerShell) Experience implementing monitoring and observability solutions (e.g. Prometheus, Grafana, Azure Monitor) Ability to operate in a hands-on role within a small or fast-paced team Strong communication skills and experience working collaboratively with engineering teams Desirable Azure certifications (AZ-400, AZ-104) Experience with policy-as-code (OPA, Sentinel) and secrets management

Senior Software Engineer - Core Services

London

About us

PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software.

We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations - empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive.

The Role

PhysicsX is building a platform that enables Data Scientists and Simulation Engineers to build, train, and deploy Deep Physics Models. Our platform serves multiple tenants across highly regulated industries, making robust identity, access control, and operational visibility foundational to everything we do.

We’re looking for a Senior Software Engineer to join our Core Services team, the team building the foundational primitives that gives our customers superpowers they’ve never had before. For decades, engineers have been trapped using siloed, rigid tools from the 90s. We’re changing that by enabling secure, permissioned collaboration at the frontier of AI.

You’ll design and build the enterprise grade systems that make this possible. From fine-grained permissions to instrumentation, you’ll create the primitives that every product across PhysicsX adopts, ensuring every user, service, and agentic workflow is securely identified, correctly scoped, and fully observable. You’ll own the infrastructure that keeps our platform trustworthy, transparent, and ready for the future of manufacturing and engineering.

What You Will Do

• Design and implement authentication and authorisation systems, including identity provider integrations, token management, session handling, and SSO flows.
• Architect and build fine granular role based and attribute based access control (RBAC/ABAC) models that scale across multi tenant environments.
• Own the platform’s permissions layer end to end: from policy definition and enforcement through auditing and compliance reporting.
• Build and maintain telemetry infrastructure distributed tracing, structured logging, metrics collection, and alerting, to provide deep observability across services and environments.
• Define and enforce security standards across APIs and services, including schema governance, data segregation, and least privilege access patterns.
• Design and implement identity and access patterns for AI agents, including MCP authentication, agent impersonation flows, and system account models that allow agents to act securely on behalf of users in a regulated, multi tenant environment.
• Contribute to the design of multi service architectures, ensuring authentication and authorisation concerns are cleanly integrated and consistently enforced across both human and agentic workflows.
• Drive best practices in CI/CD, automated testing, observability, and infrastructure as code. Build and maintain deployment pipelines, including zero downtime and multi service deployments.
• Author and review Technical Decision Records. Participate in technology reviews to evaluate and adopt new tools and approaches.
• Mentor junior and mid level engineers, facilitate technical discussions, and build consensus around architectural decisions.

What you bring to the table

• A passion for the craft, you’re driven by engineering excellence and committed to fostering that culture across the team.
• Strong software engineering foundations, solid grasp of algorithms, data structures, and system design. You write clean, maintainable, testable code and have strong command of Golang and Python.
• Authentication and identity expertise, hands on experience building or integrating identity and access management systems (e.g., Keycloak, Auth0, Okta). Deep understanding of OAuth 2.0, OIDC, SAML, and token based authentication flows. Ability to effectively leverage cloud provider IAM systems (e.g., AWS IAM, GCP IAM, Azure AD).
• Authorisation and permissions design, proven experience implementing RBAC, ABAC, or policy as code frameworks (e.g., OPA/Rego, Cedar) in production multi tenant systems.
• Telemetry and observability, experience designing and operating metrics, tracing, and logging pipelines (e.g., OpenTelemetry, Prometheus, Grafana, Jaeger). You understand what it takes to make distributed systems genuinely observable.
• Kubernetes and GitOps, strong working knowledge of Kubernetes and ArgoCD, including deploying, managing, and troubleshooting services in production clusters.
• API and service design maturity, experience designing multi service systems with attention to schema governance, forward compatibility, and secure data access patterns. Proven ability to develop schema drift mitigation strategies with minimal impact to dependent clients (e.g., forward compatible schemas, ACLs, ambassador sidecars).
• Agent governance awareness, understanding of how identity and permissions extend to agentic systems, including MCP auth, impersonation, system accounts, and scoped token delegation.
• Security awareness, familiarity with threat modelling, secure coding practices, and participating in security testing and compliance workflows.
• CI/CD and deployment expertise, hands on experience building and optimising CI/CD pipelines, including multi service and zero downtime deployments across numerous customer environments.
• Communication and collaboration, excellent communication skills to work across teams, understand requirements from research scientists and product stakeholders, and translate them into technical specifications.
• AI native mindset, you follow the frontier of agentic systems and AI tooling. You naturally think about how infrastructure needs to evolve when agents, not just humans, are the consumers of your APIs and services. You actively use AI coding tools (e.g., Copilot, Cursor, Claude Code) in your daily workflow and see them as a force multiplier, not a novelty.
• Incremental mindset, you work in small steps toward larger goals, driving change through continuous improvement rather than massive redesigns. You can zoom in on details and zoom out to see the big picture.

Ideally

• Polyglot programming, deep expertise in Python and Golang, with exposure to other languages such as Rust or C++.
• Advanced Kubernetes, ability to leverage resources that extend the Kubernetes API (e.g., CRDs, Operators) and infrastructure configuration tools (Crossplane, Helm charts).
• Infrastructure flexibility, understanding of what it takes to build software that runs in cloud, on premises, and air gapped environments.
• Advanced testing, experience with fuzzing, deterministic simulation testing, or fault injection in production systems.

What we offer

• Equity options - share in our success and growth.
• 10% employer pension contribution - invest in your future.
• Free office lunches - great food to fuel your workdays.
• Flexible working - balance your work and life in a way that works for you.
• Hybrid setup - enjoy our new Shoreditch office while keeping remote flexibility.
• Enhanced parental leave - support for life’s biggest milestones.
• Private healthcare - comprehensive coverage
• Personal development - access learning and training to help you grow.
• Work from anywhere - extend your remote setup to enjoy the sun or reconnect with loved ones.

We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics.

We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.

Company Description Genomics England is a global leader in enabling genomic medicine and research, focused on creating a world where everyone benefits from genomic healthcare. Building on the 100,000 Genomes Project, we support the NHS’s world-first national whole genome sequencing service and run the growing National Genomic Research Library, alongside delivering numerous major genomics initiatives. By connecting research and clinical care at national scale, we enable immediate healthcare benefits and advances for the future. Our mission is to provide the evidence and digital systems so that by 2035 genomics could play a role in up to half of all healthcare interactions, whilst securing the UK’s position as the best place to discover, prove and benefit from genomic innovations. We are accelerating our impact and working with patients, doctors, scientists, government and industry to improve genomic testing, and help researchers access the health data and technology they need to make new medical discoveries and create more effective, targeted medicines for everybody. Behind the Healthcare and Research outcomes, Genomics England delivers through designing, developing and operating complex healthcare software systems. We're on the cusp of big changes with the real prospect of genomics becoming the fabric of everyday healthcare through the lifetime - from birth to old age. Job Description Are you a Senior QA Engineer passionate about solving complex quality assurance challenges using test automation throughout the SDLC, and across all levels of the test pyramid? Then join our exciting new Test Enablement team, formed to address organisation wide testing challenges, where you will bring demonstrable, and hands-on experience to partner with product teams, driving meaningful, measurable improvements in quality assurance and testing. This is where you will build reusable testing tools and automation, make and influence strategic tooling choices, establish quality assurance Golden Paths, and play a leading role in maturing testing practices across the organisation. You always take a big picture view of the challenges that come with testing complex, distributed applications in a regulated environment, and use your proven experience to improve the reliability and speed of software delivery through accelerated and optimised testing. In this role, you’ll partner closely with engineers in product squads to test, evolve and scale common solutions. Drawing on a strong analytical mindset, decisions are driven by data and evidence, ensuring well-reasoned outcomes. Your confidence and credibility will be key when engaging with subject matter experts and engineering leadership, using your experience to influence key outcomes. Your curiosity and active listening help uncover root causes of testing challenges, while constructively challenging assumptions ensures you consistently champion best practice across teams. Keeping pace with developments in testing tools and techniques, you focus on continuous improvement and bringing practical, actionable innovation into the organisation. Engaging confidently with a broad range of stakeholders, you translate organisational needs into clear insights and initiatives that really strengthen QA and testing practices. Everyday responsibilities include: Work with the Test Enablement team to identify areas of greatest need where senior expertise can have the most impact Collaborate with QA engineers in product squads to raise the bar in testing maturity and effectiveness Evaluate different approaches to testing challenges, clearly articulating trade-offs, strengths and limitations Create templates, tools and Golden Paths that capture proven best practice for use across the organisation Act as a trusted mentor, coach and technical authority within the team and wider engineering community Lead and influence key decisions in a collaborative and inclusive environment Advocate for modern, effective quality assurance practices that improve release speed, confidence and reliability Essential skills and experience: Strong, demonstrable experience with Python Strong, demonstrable experience with Java Selenium WebDriver Unit test frameworks such as Pytest API testing using tools such as REST Assured and Postman BDD frameworks such as Cucumber, Pytest bdd or Behave Agile testing practices CI/CD tooling including GitLab and Jenkins Load and performance testing using tools such as JMeter or Locust Proven experience in test process improvement and test strategy ownership Desirable skills and experience: Other UI testing tools such as Playwright or Cypress Contract testing using tools such as PACT Mock APIs using WireMock Browser compatibility tools such as BrowserStack Test management tools such as Jira Xray Accessibility testing tools such as Axe core Security testing tools such as Snyk or OWASP Zap AWS Experience working in a regulated environmentThis is a role for a hand-on senior QA professional ready to lead, mentor, and drive meaningful improvements in QA engineering across complex, distributed systems. Qualifications Only relevant work experience and a demonstrable track record as a Senior QA are required, along with both Java and Python skills. No specific qualifications are needed. Additional Information Salary From: £55,500 Closing Date: Monday 27th April at 23:00 (UK time) Being an integral part of such a meaningful mission is extremely rewarding in itself, but in order to support our people, we’re continually improving our benefits package. We pride ourselves on investing in our people and supporting them to achieve their career goals, as well as offering a benefits package including: Generous Leave:  30 days’ holiday plus bank holidays, plus additional leave for long service, and also the option to apply for up to 30 days of remote working abroad annually (approval required). Family-Friendly: Blended working arrangements, flexible working, enhanced maternity, paternity and shared parental leave benefits. Pension & Financial: Defined contribution pension (Genomics England double-matches up to 10%, however you can contribute more if you wish), Life Assurance (3x salary), and a Give As You Earn scheme. Learning & Development: Individual learning budgets, support for training and certifications, and reimbursement for one annual professional subscription (approval required). Recognition & Rewards: Employee recognition programme and referral scheme. Health & Wellbeing: Subsidised gym membership, a free Headspace account, and access to an Employee Assistance Programme, eye tests, flu jabs.Equal opportunities and our commitment to a diverse and inclusive workplace Genomics England is actively committed to providing and supporting an inclusive environment that promotes equity, diversity and inclusion best practice both within our community and in any other area where we have influence. We are proud of our diverse community where everyone can come to work and feel welcomed and treated with respect regardless of any disability, ethnicity, gender, gender identity, religion, sexual orientation, or social background. Genomics England’s policies of non-discrimination and equity and will be applied fairly to all people, regardless of age, disability, gender identity or reassignment, marital or civil partnership status, being pregnant or recently becoming a parent, race, religion or beliefs, sex or sexual orientation, length of service, whether full or part-time or employed under a permanent or a fixed-term contract or any other relevant factor. Genomics England does not tolerate any form of discrimination, harassment, victimisation or bullying at work. Such behaviour undermines our mission and core values and diminishes the dignity, respect and integrity of all parties. Our People policies outline our commitment to inclusivity. We aim to remove barriers in our recruitment processes and to be flexible with our interview processes. Should you require any adjustments that may help you to fully participate in the recruitment process, we encourage you to discuss this with us. Culture We have four key behaviours that represent what we would like Genomics England to feel like and the culture we want to encourage, in order for us to achieve our mission. These behaviours help us all work well together, deliver on our outcomes, celebrate our successes and share feedback with each other. You can read about these and other aspects of our culture here

Company Description Genomics England is a global leader in enabling genomic medicine and research, focused on creating a world where everyone benefits from genomic healthcare. Building on the 100,000 Genomes Project, we support the NHS’s world-first national whole genome sequencing service and run the growing National Genomic Research Library, alongside delivering numerous major genomics initiatives. By connecting research and clinical care at national scale, we enable immediate healthcare benefits and advances for the future. Our mission is to provide the evidence and digital systems so that by 2035 genomics could play a role in up to half of all healthcare interactions, whilst securing the UK’s position as the best place to discover, prove and benefit from genomic innovations. We are accelerating our impact and working with patients, doctors, scientists, government and industry to improve genomic testing, and help researchers access the health data and technology they need to make new medical discoveries and create more effective, targeted medicines for everybody. Behind the Healthcare and Research outcomes, Genomics England delivers through designing, developing and operating complex healthcare software systems. We're on the cusp of big changes with the real prospect of genomics becoming the fabric of everyday healthcare through the lifetime - from birth to old age. Job Description Join Genomics England as a Back End Python Software Engineer At Genomics England, we’re committed to building a diverse and inclusive workplace where everyone can thrive. We’re looking for a Software Engineer with a demonstrable track record of delivering and owning backend software, who is passionate about making a difference in genomics and healthcare. As a Software Engineer, you’ll help shape the future of our innovative products. Using your Python programming expertise, you’ll contribute to large‑scale genomic analyses within a collaborative, supportive, and empowering environment. You’ll join the Research Acquisition and Processing (RAP) team, which plays a key role in how genomic research is delivered at Genomics England. As part of RAP, you’ll help build and evolve production backend services used in live genomic studies, working closely with engineers, product and research colleagues on systems that support large‑scale data processing and time‑critical programmes. Everyday responsibilities include: Back End Software Development and Design. Develop scalable, high-quality Python code following best practices. Design and maintain microservices hosted on AWS, ensuring their reliability and efficiency. Build and enhance test automation frameworks to guarantee robust application performance. Troubleshoot and support the resolution of issues during development and testing. Stay informed on the latest industry trends and embrace new technologies. Collaborate closely with front-end developers, QA and Platform engineers to create reliable, seamless solutions. Use tools like GitLab, Confluence, and Jira to support collaborative development. Collaborating with 3rd party suppliers to create technical specifications. Lead feature development across the team. Skills and experience for success: Expertise in Python and the ability to create scalable solutions. Experience working with AWS and microservice architectures. Familiarity with agile methodologies and test-driven development. A proactive approach to teamwork and problem-solving using collaborative tools. Additional Skills We’d Love to See: Experience with test automation frameworks. Experience dealing with sample/case management tools. Familiarity with front-end development or a willingness to learn. A strong understanding of code review best practices. Experience mentoring or coaching junior team members. Bonus: Knowledge of JavaScript for front-end applications. If you want your Python and backend skills as a Software Engineer to directly support life changing genomic research at Genomics England, we’d love to hear from you! Qualifications BSc in Computer Science or equivalent experience Additional Information Salary From: £71,300 Closing Date: Sunday 17th May at 23:00 (UK time) Being an integral part of such a meaningful mission is extremely rewarding in itself, but in order to support our people, we’re continually improving our benefits package. We pride ourselves on investing in our people and supporting them to achieve their career goals, as well as offering a benefits package including: Generous Leave:  30 days’ holiday plus bank holidays, plus additional leave for long service, and also the option to apply for up to 30 days of remote working abroad annually (approval required). Family-Friendly: Blended working arrangements, flexible working, enhanced maternity, paternity and shared parental leave benefits. Pension & Financial: Defined contribution pension (Genomics England double-matches up to 10%, however you can contribute more if you wish), Life Assurance (3x salary), and a Give As You Earn scheme. Learning & Development: Individual learning budgets, support for training and certifications, and reimbursement for one annual professional subscription (approval required). Recognition & Rewards: Employee recognition programme and referral scheme. Health & Wellbeing: Subsidised gym membership, a free Headspace account, and access to an Employee Assistance Programme, eye tests, flu jabs.Equal opportunities and our commitment to a diverse and inclusive workplace Genomics England is actively committed to providing and supporting an inclusive environment that promotes equity, diversity and inclusion best practice both within our community and in any other area where we have influence. We are proud of our diverse community where everyone can come to work and feel welcomed and treated with respect regardless of any disability, ethnicity, gender, gender identity, religion, sexual orientation, or social background. Genomics England’s policies of non-discrimination and equity and will be applied fairly to all people, regardless of age, disability, gender identity or reassignment, marital or civil partnership status, being pregnant or recently becoming a parent, race, religion or beliefs, sex or sexual orientation, length of service, whether full or part-time or employed under a permanent or a fixed-term contract or any other relevant factor. Genomics England does not tolerate any form of discrimination, harassment, victimisation or bullying at work. Such behaviour undermines our mission and core values and diminishes the dignity, respect and integrity of all parties. Our People policies outline our commitment to inclusivity. We aim to remove barriers in our recruitment processes and to be flexible with our interview processes. Should you require any adjustments that may help you to fully participate in the recruitment process, we encourage you to discuss this with us. Culture We have four key behaviours that represent what we would like Genomics England to feel like and the culture we want to encourage, in order for us to achieve our mission. These behaviours help us all work well together, deliver on our outcomes, celebrate our successes and share feedback with each other. You can read about these and other aspects of our culture here

Telemetry & Observability Engineer Contract £475-£515 p/d Inside IR35 London 3 days on site 6 month contract

We are seeking a highly skilled Telemetry & Observability Engineer to join a large-scale enterprise engineering environment focused on improving system reliability, visibility, and operational intelligence across complex distributed platforms. This role is ideal for a hands-on engineer who can go beyond using observability tools and instead design, build, and automate observability and telemetry solutions from the ground up.

You will be responsible for building and evolving telemetry pipelines and observability infrastructure across a distributed, cloud-native environment. Working closely with network, platform, and software engineering teams, you will help embed observability into engineering workflows and CI/CD processes.

Key Responsibilities

• Design and implement scalable pipelines for metrics, logs, traces, and event data across distributed systems
• Build and enhance observability tooling, including dashboards, monitoring systems, alerting frameworks, and reliability standards
• Develop and maintain telemetry solutions using OpenTelemetry and related open-source technologies
• Automate observability infrastructure using Terraform and infrastructure-as-code practices
• Integrate monitoring and observability into CI/CD pipelines and SDLC processes
• Define and support SLIs, SLOs, and alerting strategies in collaboration with engineering teams
• Promote best practices in instrumentation, monitoring, and incident response
• Work with network and platform teams to improve visibility across infrastructure and services

Required Skills & Experience

• Proven experience in observability, SRE, or platform engineering roles within complex distributed environments
• Strong hands-on experience with OpenTelemetry, including building and managing telemetry pipelines
• Experience with observability and monitoring tools such as: Grafana, Prometheus, Elastic / Splunk, Loki / Jaeger or similar
• Strong experience with Terraform or other infrastructure-as-code tools
• Solid understanding of cloud-native environments (Kubernetes, microservices, distributed systems)
• Experience working within or alongside network engineering or infrastructure operations teams
• Programming experience in at least one language such as Python, Go, or Java
• Strong understanding of SLOs, SLIs, and modern reliability engineering practices
• Strong analytical and problem-solving skills with a focus on automation and system reliability

Desirable Experience

• Experience in regulated or large enterprise environments
• Exposure to AI/ML-driven observability or proactive monitoring initiatives
• Contribution to or involvement with open-source observability projects

If this sounds like a fit, APPLY NOW!

Telemetry & Observability Engineer Contract £475-£515 p/d Inside IR35 London 3 days on site 6 month contract

Oscar Associates (UK) Limited is acting as an Employment Business in relation to this vacancy.

To understand more about what we do with your data please review our privacy policy in the privacy section of the Oscar website.

Job Title

Senior Data Scientist - Applied Machine Learning

Company Description

Nory - Series B AI-powered restaurant management platform backed by Kinnevik

Job Description

You will design, build, and scale production grade ML systems that automate margin critical decisions for thousands of restaurant shifts. Moving beyond notebooks, you’ll own the end to end lifecycle-from problem framing to deployment and monitoring-creating intelligent forecasting and labor planning tools that replace guesswork with predictive analytics for global hospitality brands like Jamie Oliver Group.

Location

London, UK / Dublin, Ireland / Spain (Remote first)

Why this role is remarkable

• Impact driven environment where your ML models directly drive profitability and reduce waste for major global hospitality brands like Azzurri Group and Black Sheep Coffee
• High growth trajectory at a Series B startup that has raised $62.6M and tripled revenues, offering meaningful equity and a “work from anywhere” policy for 3 months annually
• Join an elite, high ownership data team featuring alumni from Tractable, Babylon Health, and Oxford DPhil programs, where data science is a core business driver rather than a side function

What you will do

• Own the end to end ML lifecycle by designing, deploying, and monitoring production grade services that power real time demand forecasting and workforce optimization
• Build robust, observable ML pipelines and monitoring strategies to detect drift and ensure models maintain commercial value and accuracy in live operational environments
• Partner with Product and Engineering teams to embed statistical models into seamless workflows that restaurant operators rely on daily to manage multi million pound businesses

The ideal candidate

• Proven track record of taking production ML systems from ambiguous concepts to revenue impacting deployments, specifically within classical ML, forecasting, or time series domains
• Advanced academic background (MSc/PhD) in applied statistics or quantitative reasoning with a “production first” mindset and proficiency in writing clean, maintainable Python for shared codebases
• Strong systems thinker comfortable working across APIs, CI/CD, and cloud infrastructure while measuring success through business metrics like automation rates and margin improvement

Senior Software Engineer / Principal Software Engineer- C++, Python - Financial / Banking Candidates will have a minimum 8+ years C++ experience and excellent knowledge of Python -coming from a Financial / Banking background with knowledge of Equities, Futures & Options and Fixed Income and Exchange Connectivity. Job OverviewYou will work with the Product, Infrastructure and QA teams, to produce high performance, low latency and highly reliable code. Your goal will be to develop software which handle large amount of TPS to drive a highly efficient technology used by several markets around the world. To be successful in this role as a Principal Software Engineer - C++, you will be a proponent of agile methodology and modern software best practices. You can produce detailed technical work in OOP and work with other members of the Development team to produce code of high-quality standards. Ideally, you should have worked in critical systems development in the past. Responsibilities and Duties• Codes, tests, integrates, and documents software.• Provides technical leadership to more junior employees and other teams.• Apply principles and techniques of computer science, engineering, and mathematical analysis to the development of complex products.• Participate as a Subject Matter Expert in internal review of software components and systems.• Work on the hardest technical problems facing the company, often these problems are unusually complex and require the utmost creativity and innovation.• Apply and champion the appropriate standards, processes, procedures, and tools throughout the system development life cycle to support the generation of technical engineering products.• Keep abreast of technology trends and champion new ideas and process improvements. Required Skills/Experience• 8+ years development experience in C++ 11 and Boost creating performant, scalable applications.• 6+ years of experience in networking (UDP, Multicasting, TCP, etc ), messaging, and algorithms.• 6+ years of experience on Linux systems.• Good understanding of modern development best practices and methodologies• Python, including Pytest. • Knowledge of capital markets exchange connectivity on stocks (fixed income and derivatives is a plus), including exchange protocols such as FIX and SBE. • Most importantly, a drive to solve complex technological and trading challenges with a great team of talented developers. • Comfortable using Agile methodology, including continuous integration, sprints, Jira and the relevant processes and workflow. • Some understanding and usage of cloud technology is a plus but not mandatory. Candidates may be considered either as a Senior or Principal Software Engineer depending upon experience / skills with a salary range, reflective of skills between £100 / £140

A leading global investment bank in the City of London is looking to hire a Quant Developer - Credit on a contract basis. This is an initial 6 month contract with the option to extend, paying a day rate in the region of £800 to £925 per day.

This role sits within a Quantitative Analytics function, initially aligned to a credit focused programme supporting the development and improvement of risk models. The focus is on modernising existing models and improving how they are built, structured and maintained, rather than pure Front Office pricing.

The business is going through a broader modernisation programme and is looking for someone to play a key role in that transition. There is also scope to gain exposure to other asset classes and areas of the business over time, as well as the opportunity to move into a permanent role if of interest.

Key responsibilities

• Redevelop and translate existing quantitative models into Python
• Improve model structure, performance and maintainability
• Work closely with quants and risk teams to understand model logic and outputs
• Support testing, validation and deployment into production
• Contribute to development best practices including version control and testing

Experience required

• Strong Python development experience within a quant or risk environment
• Experience working with credit risk, Fixed Income or similar asset classes
• Good understanding of econometrics or time series modelling
• Experience working within financial services, ideally banking
• Comfortable working across the full development life cycle

Beneficial

• Experience working with or translating R code
• Exposure to C++ or working within mixed technology environments
• Front Office or desk facing exposure working with quants or traders
• Knowledge of derivatives, XVA or broader risk modelling
• Experience working with modern data platforms or cloud environments

This is a strong opportunity to join a well-established team working on a high priority programme within a global bank, with scope to broaden your exposure beyond credit over time.

If you are a Quant Developer with the above experience, please respond with an up-to-date CV.

Job Title

Senior Software Engineer

Company Description

Ensembleanalytics.co.uk - High-growth logistics SaaS platform digitalising global port operations

Job Description

Join a small, high-impact team building Athena, an intelligent platform transforming workforce management in the global supply chain. You will own the backend architecture for new products from concept to launch, turning rough operational ideas into production-ready Python systems that solve complex, real-world scheduling constraints for port operators and multimodal industries.

Location

London, UK

Why this role is remarkable

• Ship code with immediate real-world impact on global supply chains, moving away from legacy systems to intelligent, automated workforce tools.
• Enjoy true product ownership in a flat 8-person startup where you influence the roadmap and architect features from scratch rather than just closing tickets.
• Work from a premium London office at The Ministry, featuring an on-site gym, bike storage, and a collaborative, focused culture that prioritizes shipping over process theatre.

What you will do

• Architect and build core backend systems including a complex pay calculation engine and a cross-client marketplace for shift requests.
• Design and deploy high-performance FastAPI and SQLAlchemy APIs within an AWS environment to power the Athena platform and employee mobile app.
• Collaborate directly with product and operations teams to translate ambiguous requirements into scalable, well-architected software solutions and integrated ML models.

The ideal candidate

• 5+ years of professional experience shipping production-grade Python systems using FastAPI, SQLAlchemy, and PostgreSQL in a fast-paced environment.
• Deep technical proficiency with asynchronous workloads via Celery, containerization with Docker, and cloud deployment on AWS infrastructure.
• Strong architectural intuition and the ability to communicate complex technical trade-offs to non-technical stakeholders while operating with a high degree of autonomy.

Lead Software Engineer
C#, .NET, SQL, API integration, Kubernetes, Docker.
Dublin, Ireland
Perm Role: €90,000 - €115,000

Harrington Starr has partnered with a Global Financial Technology company, seeking to hire a Lead Engineer, with extensiveexperience working with highly scalable and highly-performant systems. This is a great opportunity to join a very well-established, growing global team working to build a resilient and reliable system designing, planning, and implementing new features.

Key responsibilities:

• Leading the design, development, maintenance and integration of their APIs with 3rd party vendors
• Ensuring consistency across engineering teams, utilising appropriate the appropriate technologies within the applications
• Providing technical guidance and mentorship to junior members of the team - with the potential to build out this team further

Benefits of the role:

• Flexible hybrid working structure
• Generous holiday leave
• Private medical insurance
• Excellent base salary up to €115,000 based on experience
• Funded additional training and development and certifications

What skills, experience and qualifications required:

• Excellent commercial experience with C#, Python, TypeScript
• Experience working with cloud technology (Azure/AWS)
• Strong technical leadership experience
• Strong commercial experience working with highly scalable and high-performance systems Excellent communication skills
• Full, unrestricted right to work in Ireland

This role offers hybrid working, with an office location based in Dublin. You will be joining the team in a lead role remaining entirely hands on, with the opportunity to train and mentor junior Software Developers.

For any additional questions, please contact me via LinkedIn or through email -

Data Engineer for a major offshore wind project in The United Kingdom Responsibilities Design and implement scalable ingestion pipelines from multiple source systems including and internal business data sources. \* Ensure reliable, automated, and monitored data flows into the Bronze layer of the Medallion architecture. \* Work within clients existing security framework to establish compliant connectivity to operational data sources. \* Build and maintain Silver and Gold layer transformations in Databricks using Python and SQL. \* Onboard datasets into Unity Catalog, ensuring proper governance, lineage, and discoverability. Platform Collaboration & Delivery \* Support the ML/Data Scientist in preparing clean, structured datasets for anomaly detection and asset performance modelling. \* Contribute to technical documentation and ensure pipelines are maintainable and transferable. \* Stay current on Databricks and Azure platform developments relevant to the stack. \* Support the Digital & AI Strategy Manager in assessing feasibility of new data source integrations as the roadmap evolves. Experience \* Master's degree in Computer Science, Data Engineering, Software Engineering, or a related technical field. \* Professional certifications in Azure, Databricks preferred \* Training or background in energy systems, renewable energy, offshore wind or BESS technologies is a strong plus. \* 4-7 years of hands-on data engineering experience in a cloud environment. \* Demonstrated experience delivering production pipelines on Databricks and Azure (ADLS Gen2, ADF or equivalent). \* Proven ability to implement Medallion architecture or equivalent layered data modelling patterns. \* Experience with REST API ingestion and integration of business systems (ERP, finance tools). \* Experience in a contractor or project-based delivery model preferred. \* Exposure to OT/SCADA environments or energy sector data. \* Exposure to MLOps workflows or collaboration with data science teams

DevOps Engineer Location: London (Hybrid) | Salary: £55,000 – £70,000 + Benefits We’re currently working with a growing London-based technology business looking to hire a DevOps Engineer to help scale and improve their cloud infrastructure and deployment capability. This is a great opportunity for someone with solid DevOps fundamentals who wants to step into a role with real ownership, modern tooling, and strong collaboration with engineering teams. What you’ll be doing: \* Building and improving CI/CD pipelines \* Supporting and maintaining AWS cloud infrastructure \* Working with Docker and Kubernetes environments \* Implementing Infrastructure as Code (Terraform or similar) \* Monitoring systems and improving performance and reliability \* Collaborating closely with developers to streamline deployments What they’re looking for: \* Experience in a DevOps or Cloud Engineering role \* Strong exposure to AWS \* Experience with CI/CD tools (GitHub Actions, Jenkins, GitLab CI etc.) \* Hands-on experience with Docker and/or Kubernetes \* Knowledge of Terraform or other IaC tools \* Linux and scripting skills (Python or Bash) Nice to have (not essential): \* Experience with monitoring tools (Prometheus, Grafana, CloudWatch) \* Exposure to hybrid or on-prem environments \* Understanding of cloud security best practices What’s on offer: \* £55,000 – £70,000 salary \* Hybrid working (London-based) \* Opportunity to grow within a developing DevOps function \* Collaborative, engineering-led environment \* Real input into tooling and platform direction If you’re a DevOps Engineer looking to take the next step in your career and work with modern technologies in a supportive environment, apply now or get in touch for more details

Pantheon has been at the forefront of private markets investing for more than 40 years, earning a reputation for an innovative approach to investing in secondaries, co investments, and primary fund investments, as well as capital formation across commingled funds, evergreen vehicles and customized solutions. Our specialist investment capabilities span multiple strategies across private equity, infrastructure and real assets, and private credit. Through our collaborative and committed culture, we find new ways to solve complex problems together and deliver innovative investment opportunities across private markets. Pantheon currently manages approximately $82.3 billion in AUM across all its strategies, serving more than 750 institutional and 638 private wealth clients worldwide.

We are seeking a Vice President in our Portfolio Analytics team within the firm’s Data & Analytics department. This is a technical leadership role that will shape how portfolio analytics informs portfolio decision making across our evergreen & semi liquid fund platform. The role leads analytics solutions for evergreen & semi liquid vehicles, which often includes investments in single asset GP led secondaries and co investments, across private markets asset classes.

The role requires knowledge of private markets coupled with expertise in semi liquid fund structures (Investment Trusts, SICAV, ELTIF, LTAF, US 40 Act funds). The role specialises in using proprietary data to develop strategic analytics that inform portfolio construction, portfolio monitoring, risk & performance analyses and investor insights. This individual will oversee a small global team responsible for delivering managed fund and asset level analytics and will serve as a senior analytical partner to a number of Pantheon teams including Core Portfolio Management, Investments, Risk, Fund Finance and other Data & Analytics teams.

The role sits at the intersection of Portfolio Management, Investment Analytics and Data & BI Engineering. In addition to strong technical depth, the role requires the ability to lead and influence across functions, translate complex analysis into clear narratives and perform under pressure in a fast paced business environment.

Key Responsibilities

• Lead and develop a high performing portfolio analytics team focused on evergreen & semi liquid funds, elevating analytical content and positioning the function as a trusted, disciplined and intellectually rigorous partner for Data & Analytics.
• Own the delivery of evergreen funds’ portfolio analytics covering performance drivers, portfolio composition & concentrations, risk exposures and liquidity metrics.
• Interrogate proprietary data for both fund and underlying asset levels, ensuring portfolio insights are grounded in clear, defensible and trusted data.
• Perform scenario analysis and stress testing in partnership with the core portfolio management team, developing analytical frameworks to evaluate portfolio resilience under varying deployment speeds, distribution timing and macro conditions, identifying emerging risks and portfolio imbalances early.
• Establish quality control standards for analytical outputs to ensure consistency, transparency and auditability appropriate for regulated semi liquid vehicles.
• Partner with engineering teams to continuously scale the quality control of data and production of analytical content supporting evergreen funds & semi liquid vehicles.
• Support senior leadership discussions with concise, decision oriented materials that clearly frame analytical content as insights improving the quality of conversations held at ICs and with our clients.
• Ensure client facing analytics supporting private wealth investors are robust, consistent and aligned with internal portfolio views approved by the investment team, reinforcing data credibility in external communications.
• Continuously elevate the sophistication of analytics, moving beyond descriptive reporting toward comparative and forward looking insight that materially informs portfolio construction & client engagement.
• Prioritize and allocate team resources effectively across recurring portfolio monitoring and high impact ad hoc analyses, maintaining quality and responsiveness as the platform scales.

Knowledge and Experience Required

• Significant experience within private markets, ideally at a leading alternative asset manager, solutions or secondaries platform or institutional investor, with deep exposure to portfolio & performance analytics, portfolio & risk management, and investment data & operations.
• Demonstrate strong familiarity with evergreen or semi liquid structures, including liquidity mechanics, investor subscription and redemption terms, capital pacing, facility management and NAV based portfolio management.
• Showcase the ability to operate credibly alongside senior investment team members and portfolio managers, and have contributed meaningfully to portfolio monitoring reviews & client portfolio updates.
• Strong experience leveraging technology including Python, Databricks, Power BI, Claude and similar tools to analyze large, structured datasets beyond spreadsheet based workflows.
• Proven ability to evaluate private markets’ data quality, tracing inputs to source data and ensure valuation, cash flow and performance data are accurate, complete and decision ready.
• Demonstrate strong executive presence and communication skills, with the ability to translate complex analytics into concise, commercially relevant insights.
• Demonstrate experience leading and developing data & analytics professionals in highly demanding & performance driven culture.

This job description is not to be construed as an exhaustive statement of duties, responsibilities, or requirements. You may be required to perform other job related duties as reasonably requested by your manager.

Pantheon is an Equal Opportunities employer, we are committed to building a diverse and inclusive workforce so if you’re excited about this role but your past experience doesn’t perfectly align we’d still encourage you to apply.

Working in a busy and vibrant Financial / Banking environment, candidates will have a minimum of 2+ years Red Hat Linux systems Administration with some Scripting - Bash / Python - and ideally some SQL / Database knowledge.

Job Overview

You will be providing 1st, 2nd & 3rd line Linux technical support, troubleshooting, and maintenance for Linux-based systems and requires excellent problem-solving abilities, and a customer-centric attitude. You will work closely with highly technical internal teams and end-users to ensure the smooth operation of Linux-based servers and systems. This is a key role with huge scope to learn new skills.

Responsibilities and Duties

• Monitor and support live trading platforms during operational hours.

• Participate in a support rota of early/late shifts supporting exchange hours 7am - 6.30pm to provide 1st and 2nd line support for IT infrastructure.

• Manage and respond to queries/tickets sent to the infrastructure team from both internal teams or external clients.

• Assist in the installation, configuration, and maintenance of Linux-based servers and systems.

• Perform regular system updates, patches, and upgrades to ensure systems are secure and up-to-date.

• Responsible for implementing out of hours changes.

• Assist with the on-boarding of new platforms and undertake final support signoff.

• Assist in the administration of logging and alerting services (Nagios, SolarWinds, etc).

• Assist the Linux or DevOps team with projects as appropriate.

• Identify where we can improve processes and highlight where potential automation improvements can be made.

• Ensure that all policies, procedures, and documentation are kept up to date.

• Out-of-hour’s work will be required on occasion, including ad-hoc datacentre visits.

Required Skills/Experience

• 5+ years working in a Red Hat Linux environment troubleshooting Linux servers and applications. RedHat/Rocky Linux preferable but not essential.

• RHCSA or similar is advantageous but not required.

• Solid understanding of Linux operating systems (file system, best practices in terms of permissions management, management of system logs, services, performance monitoring, systems lifecycle etc.)

• Experience monitoring/optimising system performance, troubleshoot issues, and implement solutions to enhance overall efficiency.

• Scripting on Linux systems bash / python desirable.

• Experience with virtualisation technologies (e.g. VMware)

• Knowledge and experience of application delivery technologies such as TCP/IP, LAN networking (DNS, HTTP(S), Web Sockets, SFTP).

• Prior experience using a ticketing system within a helpdesk environment.

• Experience using and / or administering IT monitoring systems such as Nagios or SolarWinds.

• Experience with a version control system such as GitLab.

• Cloud / AWS experience a bonus.

• SQL database experience a bonus.

• Strong analytical and organizational skills, with passionate attention to detail and a willingness to learn new skills.

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Site Name: London The Stanley Building, Heidelberg, Switzerland - Zug, USA - Massachusetts - Cambridge
Posted Date: Apr

At GSK, we are actively working on building a future in which state-of-the-art software, Artificial Intelligence (AI) and Machine Learning (ML) enable us to develop new therapies and personalized medicines that drive better outcomes for patients at reduced cost with fewer side effects. This ambitious mission requires scalable, cloud-native solutions at the forefront of Software Engineering, Cloud Infrastructure, Efficient Compute, Machine Learning and AI. If this excites you, we would love to chat.

About the Role

To strengthen our AI for Science (AI4S) team, we are looking for Software Engineers with a track record in developing production-grade, data-driven software solutions. You will drive the development of scalable cloud infrastructure and efficient compute solutions to support large-scale AI models and agentic systems - building robust, high-performance software that enables scientific research using modern cloud technologies and the vast biomedical data sources available at GSK.

Team Culture

The AI4S team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and we are motivated to make this a great place to work. Our leaders will be committed to your career and development from day one. We strongly encourage applications from people with diverse and underrepresented backgrounds and perspectives.

In this role you will

• Design and implement scalable infrastructure and software solutions to support large-scale AI models and agentic systems across the entire software development life cycle.
• Design and implement sophisticated machine learning and deep learning pipelines that can handle massive amounts of data with optimal resource utilization.
• Develop and maintain cloud-native architectures that enable seamless deployment and scaling of AI/ML workloads.
• Deliver robust, tested and high-performance code in an agile environment.
• Liaise with AI/ML engineers, data scientists, and domain experts to ensure fit-for-purpose infrastructure and data pipelines for cutting-edge scientific projects.

Qualifications & Skills

• A degree in a quantitative or engineering discipline (e.g., computer science, computational biology, bioinformatics, engineering, among others); OR equivalent work experience as a professional software engineer.
• Demonstrated advanced programming expertise in Python and in developing and delivering robust, scalable software solutions.
• Experience with cloud platforms (AWS, GCP, Azure) and cloud-native architectures.
• Passion for software design and commitment to the development of reusable, scalable, and testable software components.
• Basic understanding of at least one major deep learning framework (PyTorch, JAX, TensorFlow).
• Knowledge of command-line tools and shell scripting.
• Knowledge of software engineering best practices, including continuous integration (CI) and continuous deployment (CD), containerization, and infrastructure as code.
• Strong problem-solving and debugging skills, and experience working in cluster settings or cloud-based environments.
• Fluency in English.

Preferred Qualifications & Skills

• Familiarity with machine learning principles and state-of-the-art modelling approaches.
• Experience in design, development and deployment of commercial cloud-native software and infrastructure.
• Experience building and deploying large-scale AI models and agentic systems in production environments.
• Experience architecting, developing, and deploying distributed training pipelines for large models with PyTorch or TensorFlow.
• Expertise in performance optimization, cost optimization, and efficient compute resource management in cloud environments.
• Contributions to relevant open-source projects.
• Knowledge or interest in disease biology, molecular biology and medicine.
• Experience working with biomedical data (e.g., genomics, transcriptomics, proteomics, electronic health records, clinical images).

Benefits

The US salary ranges for new hires in this position range from $136,125 to $226,875 and include an annual bonus and eligibility to participate in a share-based long term incentive program. Benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave.

Why GSK?

GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We are committed to creating an environment where our people can thrive and focus on what matters most.

Equal Opportunity Employer

GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.

Location: London (hybrid working 3 office days per week)
Employment Type: Full time / Permanent Thought The AA only provide roadside assistance? Think again.

For over 100 years, we’ve continued to evolve and adapt. Today, as the nation’s number one motoring organisation, we offer a range of excellent products and services to millions of customers from roadside assistance to home and motor insurance as well as providing the latest driving technologies. As we continue to expand, diversify, and modernise, joining us as our Head of Home Pricing (Trading), you’ll play a key part in our success and join us on this exciting journey.

This is the job

This is a high-impact leadership role with full accountability for the Home trading performance of AA Underwriting Insurance Company Limited (AAUICL). You’ll own the end-to-end pricing and underwriting trading cycle, using insight and analysis to drive profitable growth and provide clear recommendations to senior stakeholders and governance forums.

This is a hands on leadership role where you’ll deploy rate changes in WTW Radar and develop production quality code to extract, validate and automate portfolio MI. With an initial direct report and scope to grow the team, this is an opportunity to shape trading strategy, influence key decisions, and make a measurable impact.

What will I be doing?

• Own the end-to-end Home pricing and underwriting trading cycle, with clear accountability for performance against plan and risk appetite.
• Develop and enhance pricing models and decisioning approaches, ensuring they are robust, well governed and commercially effective.
• Implement pricing changes in WTW Radar, including scenario testing, peer review, deployment and documentation in line with governance standards.
• Build and automate portfolio MI and trading dashboards, writing and optimising SQL to extract, validate and reconcile data with strong quality controls.
• Forecast and monitor weekly trading against budget, identifying variances and recommending corrective action.
• Lead pricing reviews and present clear, decision focused insight at governance forums and to key stakeholders, including reinsurers where required.
• Partner with Technical Pricing, Reserving, Claims, Finance, Risk, AA Broker and wider Group teams to deliver shared objectives.
• Support reinsurance and capacity activity through profitability, exposure and trend analysis.
• Lead, coach and grow the Home Trading team, setting high technical standards and driving best practice.
• Embed Treating Customers Fairly, Consumer Duty and regulatory expectations into pricing, trading and portfolio governance.

What do I need?

Capability, Knowledge and Experience:

• Significant experience in personal lines pricing and underwriting (Home preferred), with a proven track record of delivering trading performance improvements.
• Strong hands on experience with WTW Radar (or another rating engine, with the ability to become productive in Radar quickly).
• Advanced SQL skills, including writing and optimising complex queries, working with large datasets, and building robust, well controlled data processes.
• Strong analytical capability across modelling and portfolio analysis (e.g. GLMs, GBMs, segmentation and performance monitoring). Python experience beneficial.
• Ability to balance commercial pace with strong governance, controls and documentation.
• Experience coaching, mentoring or line managing analysts and developing team capability.
• Confident communicator who can translate technical insight into clear recommendations and influence senior stakeholders.

Additional information

We’re always looking to recognise and reward our employees for the work they do. As a valued member of The AA team, you’ll have access to a range of benefits including:

• 25 days annual leave plus bank holidays + holiday buying scheme
• Worksave pension scheme with up to 7% employer contribution
• Free AA breakdown membership from Day 1 plus 50% discount for family and friends
• Discounts on AA products including car and home insurance
• Employee discount scheme that gives you access to a car salary sacrifice scheme plus great discounts on healthcare, shopping, holidays and more
• Company funded life assurance
• Diverse learning and development opportunities to support you to progress in your career
• Dedicated Employee Assistance Programme and a 24/7 remote GP service for you and your family

Plus, so much more!

We’re an equal opportunities employer and welcome applications from everyone. The AA values diversity and the difference this brings to our culture and our customers. We actively seek people from diverse backgrounds to join us and become part of an inclusive company where you can be yourself, be empowered to be your best and feel like you truly belong. We have five communities to bring together people with shared characteristics and backgrounds and drive positive change.