Intelligent Automation Engineer
Hybrid: 2 days per week in the office (London)
Permanent

Paying up to 95,000 + bonus

Experis are partnering with a leading organisation undergoing a significant digital and AI transformation. As part of this journey, they are investing in building out their Intelligent Automation capability, with a strong focus on AI-powered workflows, copilots and enterprise automation.

This is a hands-on role where you’ll design, build and deploy AI-driven automations that improve efficiency, decision-making and user experience across the business.

You’ll work at the intersection of AI, automation and enterprise systems, helping to move the organisation towards an “AI-first” approach to solving business problems.

What You’ll Be Doing

• Designing and building AI-powered copilots and agents to automate business processes end-to-end
• Developing Generative AI workflows using Azure OpenAI and Retrieval-Augmented Generation (RAG)
• Building and deploying automation solutions using Power Automate and Power Apps
• Integrating AI solutions with enterprise systems (CRM, M365, APIs, data platforms)
• Ensuring solutions are secure, scalable and aligned with governance and compliance standards
• Monitoring, testing and continuously improving automation solutions based on usage and feedback
• Collaborating with business stakeholders to identify high-value automation opportunities
• Contributing to best practices, standards and the overall maturity of the automation capability

Experience Required

• Proven experience building automation solutions using Power Platform and/or RPA tools
• Hands-on experience developing AI agents, copilots or Generative AI solutions
• Strong understanding of Azure services, particularly Azure OpenAI
• Experience integrating systems via APIs and working with enterprise data
• Solid understanding of security, governance and data protection principles
• Ability to translate business requirements into scalable technical solutions
• Strong communication skills and experience working with stakeholders

Desirable

• Experience with RAG pipelines and LLM-based solutions
• Exposure to Microsoft Copilot Studio
• Experience with Databricks, SQL or Python
• Knowledge of CI/CD and DevOps practices
• Background working in regulated environments

• Lead Data Engineer - Python AI Vector PostgresSQL
• Leading Technology AI Brand
• SaaS - Platform based Technology Services
• London/City
• £70-130k salary + equity package

Our client a global technology leader is currently looking for a Senior/Lead Data Engineer to work with the dev team to guide the provision of Software Development for an exciting new AI product.

Key Responsibilities:-

• Architect and build scalable data pipelines and infrastructure
• Design and maintain data ingestion, transformation, and storage architectures for operational and AI workloads.
• Develop and manage batch and Real Time data pipelines.
• Build and optimize systems for vector search, retrieval, and ML data pipelines.
• Ensure data reliability, security, and governance across the platform.
• Collaborate with AI and Back End engineering teams to support training, inference, and product features.
• Implement monitoring, observability, and data quality frameworks.

Core Experience:-

• 7+ years of experience in data engineering or Back End engineering roles.
• Strong experience designing and building data pipelines and distributed data systems.
• Experience working with relational databases (PostgreSQL preferred, but MySQL or similar is acceptable).
• Experience with NoSQL databases.
• Experience with vector databases used in modern AI systems.
• Strong programming experience in Python.

Frameworks/Infrastructure:-

• Apache Spark
• Apache Airflow
• Kafka
• Elasticsearch/OpenSearch

Location: London - Hybrid

This is an opportunity to join one of the world’s premier investment firms.

The firm deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. You will be building components for both live trading and simulations as part of a trading pod.

Salary: Competitive / Market-Leading

Requirements:

• Masters or PhD in Computer Science or other quantitative discipline
• 5+ years of experience designing and developing research and live trading infrastructure at a financial institution, including experience in futures and FX
• Experience handling connections to execution/order management systems
• Strong programming skills in Python
• Experience with SQL, database design, and large datasets
• Willing to take ownership of his/her work, working both independently and within a small team
• Commitment to the highest ethical standards

Benefits:

• Competitive base salary and annual discretionary bonus
• 25 days holiday + statutory holidays + paid sick days
• Private medical and dental

Tier-2 visa sponsorship is available.

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Contact
If you think you are a strong match for this role, please don’t hesitate to get in touch!

Kishan Patel
kishan.patel@oxfordknight.co.uk
+44 (0)20 3137 9572
linkedin.com/in/kishan-patel-4029aa8b

Salary: £400K TC

Location: London

Client & Role Overview

My client is a top-tier global hedge fund known for investing heavily in world-class technology and research to drive trading performance. They are looking to hire a Senior C++ Low-Latency Quant Developer to join a core front-office team building the trading infrastructure that directly supports execution and central trading.

This role sits at the heart of the business. You’ll design and build ultra-low-latency systems that power execution algorithms, strategy containers and real-time trading across global markets. Working directly with traders and quants, you’ll help unlock new trading opportunities by continuously improving speed, stability and performance.

If you’re excited by writing highly performant C++ and working as close to the market as possible, this is an exceptional opportunity to have real impact.

Skills & Experience Required

• 5+ years of experience building high-performance C++ systems in front-office environments
• Strong modern C++ experience (C++17 / C++20)
• Deep understanding of low-latency, real-time system design
• Excellent knowledge of Linux internals and networking
• Experience building trading systems across equities and/or futures

Why Join?

• Work directly alongside high-performing trading and quant teams
• Core ownership of mission-critical trading infrastructure
• Exceptional compensation and performance bonus
• Fast-moving, intellectually rigorous environment

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Contact
If you think you are a strong candidate for the role and would like further info, please contact:

Gracie Shallcross
gracie.shallcross@oxfordknight.co.uk
linkedin.com/in/gracie-shallcross-2450061b6

£65000 GBP
Hybrid WORKING
Location: Central London, Greater London - United Kingdom Type: Permanent

Security Content Engineer (SOC)

Location: London (Full time - 5 days onsite)

Salary: Up to £65,000 + bonus

Clearance: Must be eligible for UK Developed Vetting (DV) clearance

We are seeking an experienced Security Content Engineer to join a high-performing Security Operations Centre (SOC) environment. This role is focused on designing, developing, and optimising detection content to strengthen cyber defence capabilities and improve threat visibility across enterprise environments.

You will play a critical role in enhancing detection efficacy, reducing false positives, and ensuring robust coverage against evolving threat landscapes.

Key Responsibilities

• Design and implement detection use cases across SIEM and SOAR platforms using threat intelligence and incident data
• Develop, map, and maintain detection logic aligned to MITRE ATT&CK frameworks
• Continuously tune and optimise correlation rules to improve signal-to-noise ratio
• Validate detection logic through simulations, threat emulation, and red team collaboration
• Work closely with SOC tooling and engineering teams to ensure efficient data ingestion and parsing
• Document detection logic, methodologies, and expected outputs for audit and operational use
• Contribute to post-incident reviews, enhancing detection coverage and response effectiveness
• Maintain and evolve a repository of use cases, KPIs, and SOC performance metrics

Requirements

• 6+ years of commercial experience in SOC content engineering, detection engineering, or SIEM administration
• Strong hands-on experience with SIEM platforms and query languages (e.g. SPL, KQL)
• Solid understanding of detection engineering principles, data modelling, and regex
• Proven experience working with MITRE ATT&CK and threat-informed defence strategies
• Ability to design scalable and maintainable detection content in complex environments
• Strong documentation and stakeholder communication skills

Desirable

• Relevant certifications such as Splunk Enterprise Security, GIAC GCDA, or similar
• Experience with SOAR platforms and automation workflows
• Background in threat hunting or incident response

If you are a detection-focused cyber security professional who thrives on building high-quality, intelligence-led SOC content, apply today.

Reference: SMM/ACC/SCE

#samc

About Man Group

Man Group is a global alternative investment management firm focused on pursuing outperformance for sophisticated clients via our Systematic, Discretionary and Solutions offerings. Powered by talent and advanced technology, our single and multi-manager investment strategies are underpinned by deep research and span public and private markets, across all major asset classes, with a significant focus on alternatives. Man Group takes a partnership approach to working with clients, establishing deep connections and creating tailored solutions to meet their investment goals and those of the millions of retirees and savers they represent.

Headquartered in London, we manage $227.6 billion* and operate across multiple offices globally. Man Group plc is listed on the London Stock Exchange under the ticker EMG.LN and is a constituent of the FTSE 250 Index. Further information can be found at

* As at 31 December 2025

The Team

Quant Developers at Man Group are all part of our broader technology team, members of a group of over sixty individuals representing eighteen nationalities. We have varied backgrounds including Computer Science, Mathematics, Physics, Engineering – even Classics - but what unifies us is a passion for technology and writing high-quality code.

Our developers are organised into small cross-functional teams, spanning a range of engineering roles. People often rotate teams in order to learn more about our system, as well as find the position that best matches their interests.

You should have the enthusiasm for leveraging AI development tools to accelerate delivery and driving their adoption across the team.

Our Technology

Our systems are almost all running on Linux and most of our code is in Python, with the full scientific stack: numpy, scipy, pandas, scikit-learn to name a few of the open-source libraries we use extensively. We implement the systems that require the highest data throughput in Java and C++.

We use Airflow for workflow management, Kafka for data pipelines, Bitbucket for source control, Jenkins for continuous integration, Grafana + Prometheus for metrics collection, ELK for log shipping and monitoring, Docker and Kubernetes for containerisation, OpenStack for our private cloud, Ansible and Terraform for architecture automation, and Slack for internal communication. We heavily utilise ArcticDB (https://arcticdb.io/) our in-house developed DataFrame Database. Our technology list is never static: we constantly evaluate new tools and libraries.

Technology and Business Skills

At Man we strive to hire only the brightest and best and most highly skilled and passionate technologists.

Key Competencies

Essential

• Exceptional technology skills; recognised by your peers as an expert in your domain
• A keen interest and understanding of financial markets and instruments
• A proponent of strong collaborative software engineering techniques and methods: agile development, continuous integration, code review, unit testing, refactoring and related approaches
• Strong knowledge of Python
• Proficient on Linux platforms with knowledge of various scripting languages
• Experience of data analysis techniques along with relevant libraries e.g. NumPy/SciPy/Pandas
• Relevant mathematical knowledge e.g. statistics, asset pricing theory, optimisation algorithms
• Embracing agentic engineering — willingness and ability to work effectively with AI -assisted development tools as part of daily workflow

Advantageous

• Experience of front office quantitative software development e.g. in a hedge fund or investment bank
• Experience of web based development and visualisation technology for portraying large and complex data sets and relationships
• Experience of machine learning techniques, natural language processing and related libraries and frameworks e.g. scikit-learn, Tensorflow

Personal Attributes

• Strong academic record and a degree with high mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Physics from a leading university
• Craftsman-like approach to building software; takes pride in engineering excellence and instils these values in others
• Demonstrable passion for technology e.g. personal projects, open-source involvement
• Intellectually robust with a keenly analytic approach to problem solving
• Self-organised with the ability to effectively manage time across multiple projects and with competing business demands and priorities
• Focused on delivering value to the business with relentless efforts to improve process
• Strong interpersonal skills; able to establish and maintain a close working relationship with quantitative researchers, traders and senior business people alike
• Confident communicator; able to argue a point concisely and deal positively with conflicting views

Inclusion, Work-Life Balance and Benefits at Man Group
You’ll thrive in our working environment that champions equality of opportunity. Your unique perspective will contribute to our success, joining a workplace where inclusion is fundamental and deeply embedded in our culture and values. Through our external and internal initiatives, partnerships and programmes, you’ll find opportunities to grow, develop your talents, and help foster an inclusive environment for all across our firm and industry. Learn more at .

You’ll have opportunities to make a difference through our charitable and global initiatives, while advancing your career through professional development, and with flexible working arrangements available too. Like all our people, you’ll receive two annual ‘Mankind’ days of paid leave for community volunteering.

Our comprehensive benefits package includes competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Depending on your location, you may also enjoy additional benefits such as private medical coverage, discounted gym membership options and pet insurance.

Equal Employment Opportunity Policy

Man Group provides equal employment opportunities to all applicants and all employees without regard to race, color, creed, national origin, ancestry, religion, disability, sex, gender identity and expression, marital status, sexual orientation, military or veteran status, age or any other legally protected category or status in accordance with applicable federal, state and local laws.

Man Group is a Disability Confident Committed employer; if you require help or information on reasonable adjustments as you apply for roles with us, please contact .

Our purpose is to give everyone real confidence to put their money to work. With a heritage dating back more than 175 years, we have a long history of innovation in savings and investments, combining asset management and insurance expertise to offer a wide range of solutions.

Our two distinct operating segments, Asset Management and Life, work together to provide access to balanced, long-term investment and savings solutions.

Through telling it like it is, owning it now, and moving it forward together with care and integrity; we are creating an exceptional place to work for exceptional talent.

We will consider flexible working arrangements for any of our roles and also offer work place accommodations to ensure you have what you need to effectively deliver in your role.

Overall Role Purpose

The WPS Data Analyst role sits within the Workplace Solutions Data, Analytics & Insight function and supports the delivery of high quality, analytical data products that enable effective management of M&G’s Workplace portfolio and services. Focusing on the goal of enabling data-based decision making across the department.

The role contributes directly to the delivery of the WPS Data and AI strategies, translating strategic direction into practical, scalable data, analytics and AI enabled solutions. The role operates at the intersection of change and delivery - advancing new ways of working, platforms and insight capabilities, while ensuring that existing data products continue to operate reliably, with appropriate quality, governance and control.
The role works laterally across the whole team, with senior leadership, other WPS Data Analysts, Technology and functional stakeholders to ensure workplace insight is trusted, well governed and actively used to inform decision making.
Success in the role will be demonstrated through the adoption of data that measurably improve decision quality, efficiency and outcomes across Workplace Solutions.

Key Accountabilities

1. Delivery of WPS Data and AI Strategies

• Support the implementation of the WPS Data and AI strategies through the design and delivery of analytical products, use cases and data-driven solutions
• Translate strategic objectives into tangible insight, automation and AI enabled capabilities that improve decision quality, efficiency and outcomes
• Identify opportunities to apply analytics, automation and AI to Workplace data to create capacity and improve performance

2. Insight, Analytics and Decision Support

• Design, build and maintain data products that provide clear, decision ready insight for operational and senior stakeholders

• Develop repeatable analytical outputs supporting portfolio optimisation, service performance, utilisation and cost management

• Contribute to the ongoing development of KPIs, measures and performance frameworks across Workplace Solutions

• Ensure insight outputs are well structured, clearly communicated and aligned to decision needs

• Drive evidence-based decision making across Workplace Solutions by supporting requirements gathering, user training and adoption through the development and co-creation of data and insight products

3. Enterprise Data Platforms and Engineering

• Support the migration and optimisation of Workplace data onto centralised, enterprise grade data platforms

• Work in partnership with Technology and system owners to improve data pipelines, models, integrations and backend data structures

• Own analytical delivery from data ingestion and transformation through to modelling, insight generation and consumption

4. Automation and AI Enabled Solutions

• Design and deliver automation and AI ready solutions that improve speed, consistency and scalability of reporting and analysis

• Support experimentation and iteration of new analytical and AI ready capabilities, ensuring appropriate controls are applied

• Industrialise new solutions so they can be sustained as part of standard operations

5. Operational Stability, Governance and Quality

• Ensure existing Workplace data products, dashboards and reporting operate accurately, reliably and on time

• Maintain appropriate documentation, data ownership, controls and auditability across analytical products

• Monitor data quality and resolve issues in collaboration with Technology and system owners

• Apply a disciplined approach to quality and control as new capabilities transition into BAU operation

6. Collaboration and Capability Development

• Work closely with other WPS Data Analysts to ensure consistent standards, tooling and analytical approaches

• Collaborate with colleagues across Workplace Solutions, Finance, HR and Technology to embed data and AI led ways of working

• Support capability uplift across WPS through effective use of dashboards, insight and analytical products

• Contribute positively to the development of a strong, credible and collaborative analytics community

Skills, Knowledge and Experience

Essential

• Experience working in a data, analytics or insight role within a large, complex organisation in a cross functional capacity
• Strong hands-on capability across different roles that include data analysis, data engineering and analytical product delivery
• Strong experience with TSQL, Pyspark or similar capabilities for data extraction, transformation, data modelling and analysis
• Strong experience using Microsoft Power Platform: Power BI, Power Query, Power Apps, Power Automate and Databricks
• Experience in delivering new ideas and processes, using technical expertise to make progress towards departmental delivery
• Experience delivering change through data, analytics or AI, alongside maintaining operational reliability
• Ability to translate complex data and analytical concepts into clear, decision ready insight for nontechnical stakeholders
• Strong attention to detail with a disciplined approach to data quality, governance and control

Desirable

• Experience supporting or delivering data and AI strategies
• Experience working with enterprise data platforms and modern data architectures
• Familiarity with workplace, property, facilities management or corporate operations data
• Experience using APIs to extract and model data
• Experience in app development

Behavioural Capabilities

• Outcome focused and comfortable operating in change led environments
• Proactive in identifying opportunities to improve decisions through data, automation and AI
• Structured, credible and collaborative when working across functions and within an analyst community
• Able to balance pace of delivery with quality, control and sustainability
• Demonstrates sound judgement, curiosity and a pragmatic approach to problem solving

Work Level: Experienced Colleague
Recruiter: Matt Campbell
Close Date: 29th April 2026

What we offer:

At M&G, we’re committed to helping you thrive and supporting your wellbeing, both at work and beyond. Our benefits are designed to help you balance your professional and personal life, while planning confidently for your future. Our UK benefits include:

• As a savings and Investments firm we are proud to offer a valuable pension scheme of 18% , with 13% made up of Employer Contributions and 5% Employee Contributions . We also offer Share Save and our Share Incentive Plan , together with access to financial wellbeing and support services - to help give you real confidence to put your money to work.
• Enjoy 38 days annual leave including bank holidays, with the opportunity to purchase up to 5 extra days and additional flexibility through our Time Off When You Need It policy - to balance your work and personal commitments.
• Our market leading Inspiring Families policy includes comprehensive support and paid parental leave covering maternity, adoption, surrogacy, and paternity leave - as supporting families is a core aspect of our inclusive culture.
• Health & Protection cover including Private Healthcare , Critical Illness cover and Life Assurance for you, with family options - for peace of mind.

To explore more about life at M&G and our full benefits offering, visit Life at M&G

We have a diverse workforce and an inclusive culture at M&G, underpinned by our policies and our employee-led networks who provide networking opportunities, advice and support for the diverse communities our colleagues represent. Regardless of gender, ethnicity, age, sexual orientation, nationality, disability or long term condition, we are looking to attract, promote and retain exceptional people. We also welcome those who take part in military service and those returning from career breaks.

M&G is also proud to be a Disability Confident Leader , and we welcome applications from candidates with long-term health conditions, disabilities, or neuro-divergent conditions.

If you need assistance or an alternative means of applying for a role due to a disability or additional need, please let us know by contacting us at: careers@mandg.com

Join our Global AI Engineering and Assurance team and help shape the future of responsible AI at Macquarie. In this pivotal technical role, you’ll apply your expertise to ensure AI systems are trustworthy, scalable and compliant, driving innovation while safeguarding against risk.

At Macquarie, our advantage is bringing together diverse people and empowering them to shape all kinds of possibilities. We are a global financial services group operating in 31 markets and with 56 years of unbroken profitability. You’ll be part of a friendly and supportive team where everyone - no matter what role - contributes ideas and drives outcomes.

What role will you play?

As an AI Assurance Technical Expert, you will lead hands-on assurance assessments that evaluate how AI systems are designed, implemented, and deployed across Macquarie. You will review code, system architecture, and support engineering practices to ensure they meet our standards for scalability, security, compliance, and responsible AI.

In this role, you will guide delivery teams in applying effective evaluation approaches and integrating observability tools that strengthen transparency and trust in AI solutions. You will translate complex technical insights into clear, actionable guidance for both technical and non technical stakeholders, ensuring risks and remediation steps are well understood.

You will collaborate with teams across Macquarie to embed leading practices into engineering standards, governance, and assurance frameworks. You will also support the development of assessment tools, automation capabilities, and reusable frameworks that strengthen consistency and drive continuous improvement in AI engineering and oversight.

What you offer

• Experience in software engineering, code review and architecture assessment. Knowledge of machine learning and AI system design is valuable.
• Familiarity with AI evaluation frameworks and observability tools for AI/ML and agentic systems
• Experience working with cloud-based AI platforms and MLOps pipelines in regulated environments
• Strong analytical and problem-solving skills, with excellent communication and stakeholder management capabilities
• Experience in financial services or other regulated industries is valued

We love hearing from anyone inspired to build a better future with us, if you’re excited about the role or working at Macquarie we encourage you to apply.

What we offer

At Macquarie, you’re empowered to shape a career that’s rewarding in all the ways that matter most to you. Macquarie employees can access a wide range of benefits which, depending on eligibility criteria, include:

• 1 wellbeing leave day per year and a minimum of 25 days of annual leave.
• 26 weeks’ paid parental leave for primary caregivers along with 12 days of paid transition leave upon return to work and 6 weeks’ paid leave for secondary caregivers
• Paid fertility leave for those undergoing or supporting fertility treatment
• 2 days of paid volunteer leave and donation matching
• Access to a wide range of salary sacrificing options
• Benefits and initiatives to support your physical, mental and financial wellbeing including, comprehensive medical and life insurance cover
• Access to our Employee Assistance Program, a robust behavioural health network with counselling and coaching services
• Access to a wide range of learning and development opportunities, including reimbursement for professional membership or subscription
• Access to company funded emergency and backup dependent care services
• Recognition and service awards
• Hybrid and flexible working arrangements, dependent on role
• Reimbursement for work from home equipment

About Corporate Operations Group

In our Corporate Operations Group, you will work at the heart of Macquarie to deliver for our people, businesses, and their customers. We’re a global, collaborative team with deep expertise in technology, data, digital, market services, corporate real estate, business resilience, procurement and global security.

Our commitment to diversity, equity and inclusion

We are committed to providing a working environment that embraces diversity, equity, and inclusion. We encourage people from all backgrounds to apply regardless of their identity, including age, disability, neurodiversity, gender (including gender identity or expression), sexual orientation, marriage or civil partnership, pregnancy, parental status, race (including ethnic or national origin), religion or belief, or socio-economic background. We welcome further discussions on how you can feel included and belong at Macquarie as you progress through our recruitment process.
Our aim is to provide reasonable adjustments to individuals as required during the recruitment process and in the course of employment. If you require additional assistance, please let us know during the application process.

We are a leading global asset management firm with over 3,000 employees across 20 offices in 15 countries; we help millions of investors around the world pursue their financial goals.

We hire critical thinkers. People who thrive in a collaborative culture like ours where we solve real problems while building the future of finance.

You

• Are excited to be part of a vibrant engineering community that values diversity, hard work, and continuous learning.
• Love solving complex real-world business problems.
• Recognize that cross-functional collaboration is a core component of success for the team.
• Believe there are multiple ways to solve most technical problems and are willing to debate the trade-offs.
• Have become a stronger engineer by making mistakes and learning from them.
• Are a doer, someone who wants to grow their career and gain experience across technologies and business functions.

We

• Continuously invest in a high-performance and inclusive culture, in which a diversity of backgrounds, experiences and viewpoints are celebrated and valued.
• Encourage career mobility, so you can benefit from learning different functions and technologies, and we gain the benefits of your experience across teams.
• Run technology pro bono programs that help the non-profit community and give our engineering community opportunities to volunteer and participate.
• Offer education reimbursements and ongoing training in technology, communication, and diversity & inclusion.
• Embrace knowledge sharing through lunch-and-learns, demos, and technical forums.
• Consider our people to be our greatest asset-we will help you learn what PIMCO Technology has to offer so you can participate in activities that benefit your career while delivering impactful technology solutions.

Description

We are looking to hire a Java Back-End Developer to join our Short-Term Desk Technology team. This role focuses on building the next generation of trading and cash management systems used across our Short Term, Cash, and Collateral desks.

You will work on modernizing existing platforms, developing new cloud native services, and contributing to our broader migration toward AWS. The role offers close collaboration with front office stakeholders and ownership across the full software lifecycle.

Core Engineering

• Design, build, and maintain high quality, scalable microservices using Java 21 and modern frameworks.
• Develop new functionality while evolving existing components with clean, maintainable, well tested code.
• Apply TDD, good CI/CD practices, and strong engineering standards.

Cloud & Platform Modernization

• Contribute to our cloud migration initiatives by building containerized, cloud ready services.
• Work with AWS services (e.g., Lambda, EKS, RDS, S3, MSK) to help move workloads off legacy environments.
• Participate in improving observability through metrics, tracing, and logging.

AI & Automation

• Use applied AI tooling (e.g., GitHub Copilot, MCP servers, and LLMs) to accelerate development, improve testing quality, and streamline operational automation.
• Identify and implement opportunities for intelligent automation within systems (e.g., anomaly detection, documentation generation, automated runbooks).

Business Collaboration

• Work directly with portfolio managers, traders, and operations teams to deliver high impact solutions.
• Understand front office workflows and translate them into robust, performant technical designs

Required Qualifications

• 3- 5 years of strong experience with Java (preferably Java 17+; ideally Java 21) and back-end development
• Familiarity with microservices, REST APIs, and event driven architectures.
• Some exposure to AWS or cloud native engineering concepts (containers, CI/CD, infrastructure as code).
• Interest or experience in using AI tools to boost productivity (code generation, test creation, documentation, etc.).
• A proactive mindset, eagerness to learn, and ability to work in a fast-moving front office environment.
• Strong communication skills and desire to partner closely with business users.

Why Join us?

• Work on high visibility trading systems critical to PIMCO’s Short Term Desk.
• Gain hands on experience with modern Java, cloud engineering, and applied AI.
• Collaborate with a talented global engineering team and front office partners.
• Opportunity to take real ownership - from design and implementation through to production.

Equal Employment Opportunity and Affirmative Action Statement

PIMCO recruits and hires qualified candidates without regard to race, national origin, ancestry, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), sexual orientation, gender (including gender identity and expression), age, military or veteran status, disability (physical or mental), any factor prohibited by law, and as such affirms in policy and practice to support and promote the concept of equal employment opportunity and affirmative action, in accordance with all applicable federal, state, provincial and municipal laws. The company also prohibits discrimination on other basis such as medical condition, or marital status under applicable laws.

Applicants with Disabilities

PIMCO is an Equal Employment Opportunity/Affirmative Action employer. We provide reasonable accommodation for qualified individuals with disabilities, including veterans, in job application procedures. If you have any difficulty using our online system due to a disability and you would like to request an accommodation, you may contact us at 949-720-7744 and leave a message. This is a dedicated line designed exclusively to assist job seekers with disabilities to apply online. Only messages left for this purpose will be considered. A response to your request may take up to two business days.

Exciting opportunity at one of the fastest growing financial services firms around the world. They offer prime brokerage, clearing and financing across traditional and digital assets, and are now looking to hire world-class software engineers to help build on their success.

Responsibilities

• Design, develop and own a generalized system for generating business-critical reports from backend data platform
• High-impact role: reporting systems handle outputs for all products globally, and are necessary to launch and grow all business products
• Take ownership of correctness, reliability, and performance of reporting
• Develop a deep understanding of the business context in which the team operates
• Drive communication between engineers and stakeholders across the business

Skills & Experience Required

• Hands-on architecture experience building critical financial/regulatory/customer reporting or data transformation systems
• Direct experience building alerting, observability and monitoring into production systems, using tools such as Datadog, Grafana, Prometheus
• Experience designing tight SLO (>0.99) workflows on scheduling systems at scale (e.g. AirFlow)
• Expert-level programmer in Python, Pandas and SQL (Snowflake and Postgres)
• Superb code-review skills and strong instincts on how to write robust, maintainable, and generalizable code

Nice to have, but not required

• Parallel computing patterns (multiprocessing, threading) experience and technologies (PySpark, Dask)
• Experience with ledger, trading, risk management, pricing, or other large-scale transaction/event-processing systems

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Contact
If you feel you are suitable for this role, drop me an email or give me a call!

Jack Peck
[e] jack.peck@oxfordknight.co.uk
[t] +44 20 3745 6537
linkedin.com/in/jack-peck-448a70131

Lead Data ScientistLondon, hybrid (2-3 days in office) with some client travel expected3-5 years experience Competitive salary between £100,000 - £110,000 plus bonus

This is a standout opportunity to play a key role in building and shaping a growing data science and AI consulting capability. You will work on complex, high impact problems across public and private sector clients, applying data science, machine learning and generative AI to deliver measurable, real world outcomes. You will also contribute to developing people, standards and culture within a rapidly scaling team.

The Company

They are a specialist consultancy known for solving complex, high value problems and guaranteeing the impact of their work. Operating across consumer, public sector, defence and infrastructure, they focus on outcomes rather than theory, with solutions tied to clear KPIs, ROI and lasting change. Data science and AI are strategic growth areas, with strong senior backing and close collaboration with leading AI technology providers.

The Role

As a Lead Data Scientist, you will combine hands on technical delivery with consulting influence and team development. You will work closely with client partners and stakeholders to shape, deliver and embed data driven solutions that make a tangible difference.

Key responsibilities include:

• Designing and delivering data science, machine learning and generative AI solutions to solve real business and operational problems.
• Leading technical workstreams within larger client programmes, from problem definition through to deployment.
• Applying advanced analytics and modelling techniques in practical, production ready ways.
• Working on site with clients to embed solutions, drive adoption and ensure long term impact.
• Translating complex analytical concepts into clear, actionable insights for non technical audiences.
• Supporting client partners with technical input during solution design and proposal development.
• Coaching and mentoring junior consultants, contributing to capability building across the team.
• Helping define and promote best practice in data science and AI delivery.

Your Skills & Experience

• Strong commercial experience delivering data science or machine learning solutions end to end.
• A consulting mindset, with the ability to influence stakeholders and operate confidently in client environments.
• Experience turning ambiguous problems into structured, high impact analytical solutions.
• Exposure to areas such as machine learning, simulation or generative AI in real world settings.
• A track record of delivering measurable outcomes such as efficiency gains, cost reduction or revenue impact.
• Intellectual curiosity and a commitment to continuous learning.
• A collaborative, low ego approach with the confidence to lead and support others.
• Eligibility for security clearance is beneficial for some projects, but not essential for all roles.

What They Offer

• A Lead level role with clear responsibility, visibility and room to grow.
• Competitive salary with a performance related bonus.
• Strong coaching, development and progression within a growing data science and AI practice.
• Exposure to varied, meaningful work across multiple sectors.
• A central London office alongside flexible working and regular client engagement.
• The opportunity to help shape the future of a data science capability built around real impact.

How to Apply

Apply below of this sounds like the perfect opportunity for you, or email me at

Data Scientist – Marketing Effectiveness – £60k–£95k – MMM – AI MMM | Marketing Effectiveness | Data Science | Econometrics | Bayesian | Python | R | SQL | AI | Cloud | Databricks | Azure | London | Hybrid | Do you want to work with a business that is a global leader in Marketing Effectiveness and AI‑powered solutions? A business that since 2006 has partnered with international brands across Auto, Beauty, Retail and Financial Services, delivering measurable, real‑world impact from data? A genuine opportunity to lead high‑impact MMM programmes, influence C‑suite decision‑making, and work alongside high performers across the globe? An opportunity to join a mission‑driven AI and data science consultancy that excels at delivering AI impact at scale, while staying committed to responsible, sustainable and frugal AI. They don’t just build models, they turn insights into action. You’ll work within projects from data strategy sqand collection through to modelling, insight generation and activation, applying econometrics, regression, Bayesian statistics and machine learning to complex marketing and customer datasets. You’ll translate analytics into clear commercial recommendations, build dashboards and visual storytelling tools, and act as the day‑to‑day client contact, running workshops and senior‑level presentations. They’re hiring multiple Data Scientists from mid-level to leadership in their Data Science team, creating clear progression, rapid growth, and genuine opportunities to step into leadership, contribute to thought leadership, and expand existing client accounts. The role offers £60k–£95k base, plus individual and company performance bonus, a hybrid working model (2 days in office), and exposure to global clients and projects across multiple industries. If it ticks those boxes, don't hang about - apply or email me on (url removed) MMM | Marketing Effectiveness | Data Science | Econometrics | Bayesian | Python | R | SQL | AI | Cloud | Databricks | Azure | London | Hybrid

Role Title / Position: Data Engineer III Type : Contract Duration:12 months Location: Bromley or Chester Job Description: Required qualifications : • Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence • Experience working on and delivering end to end projects independently • Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets • Experience with data modeling, warehousing and building ETL pipelines • Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS • Experience as a data engineer or related specialty (e.g., software engineer, business intelligence engineer, data scientist) with a track record of manipulating, processing, and extracting value from large datasets • Experience with SQL Preferred qualifications • Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions • Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases) • Experience with Apache Spark / Elastic Map Reduce

Location: London - 2 days on site Salary: Up to 67000 + 30 Days Holiday + Performance Bonus Sector: Independent National Standards & Research

The Opportunity

They are seeking a Lead Data Scientist to join a high-impact Directorate of Data Science and AI at the heart of Great Britain’s national infrastructure. This is not a “typical” tech role; you will lead the development of digital products and decision-support tools that directly improve the safety, efficiency, and sustainability of a major national network.

As a senior practitioner, you will bridge the gap between technical delivery and senior leadership. You will be the technical heartbeat of the team - ensuring high-quality modelling practices while mentoring junior colleagues and modernising our AI capabilities.

The Role

• Technical Leadership: Act as a senior hands-on practitioner, leading the delivery of analytical and ML workstreams.
• Modernisation: Take an active interest in emerging tools (including Agentic frameworks and Generative AI) to strengthen the team’s capability.
• Mentorship: Provide technical guidance, code reviews, and coaching to junior scientists to build a culture of excellence.
• Operational Excellence: Uphold best practices in coding, documentation, and Reproducible Analytical Pipelines (RAP).
• Collaboration: Work closely with subject matter experts and architects to ensure outputs are robust and ready for real-world operational use.

Your Profile

They are looking for a candidate who values rigour as much as innovation. You likely have a background in the Public Sector, Government (Grade 7 equivalent), or a highly regulated industry.

Essential Experience:

• End-to-End ML: Proven experience delivering applied data science projects from feature engineering to deployment.
• Python Mastery: Expert-level Python skills with a focus on code structure, testing, and version control.
• Governance: A deep commitment to reproducibility, model assurance, and secure data workflows.
• Agile Delivery: Experience working in iterative, sprint-based environments.
• Communication: The ability to tell a story with data to both technical and non-technical stakeholders.

Desirable:

• Experience deploying models within Azure cloud environments.
• Familiarity with Safety-Critical environments (e.g., Transport, Energy, Healthcare).
• Experience with agentic frameworks or modern AI orchestration.

Why Apply?

This organisation is renowned for its commitment to staff wellbeing and professional development.

• Work-Life Balance: 30 days annual leave (plus bank holidays), flexible core hours, and hybrid working.
• Health & Future: Private medical and dental cover, performance-related bonus, and a highly competitive pension scheme.
• Impact: Your work will have a tangible effect on the safety and sustainability of national infrastructure used by millions.

Discover your future at Citi
Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.

Job Overview

The Global Rates business is seeking an exceptional AI Engineer to drive the development and implementation of cutting-edge artificial intelligence solutions that will transform our trading, risk management, and client service capabilities. This role sits at the intersection of advanced AI technology and financial markets, offering the opportunity to build innovative solutions that directly impact business outcomes.
As an AI Engineer within Global Rates, you will be responsible for designing, developing, and deploying AI-powered applications and systems that leverage the latest advancements in generative AI, agentic frameworks, and intelligent automation. You will work closely with traders, sales, quants and technology teams to identify opportunities for AI integration and deliver production-grade solutions.

Key Responsibilities
AI Solution Development

• Design, develop, and deploy production-ready AI applications using generative AI techniques, including large language models (LLMs), retrieval-augmented generation (RAG), and agentic frameworks
• Build intelligent automation solutions that enhance trading workflows, risk analysis, and operational efficiency
• Develop agentic coding systems that can autonomously generate, test, and optimize code for financial applications
• Create conversational AI interfaces and intelligent assistants for traders and business users

Technical Architecture & Implementation

• Architect and implement RAG pipelines for knowledge retrieval from structured and unstructured financial data sources
• Design and optimize vector databases and embedding strategies for efficient information retrieval
• Develop prompt engineering frameworks and fine-tuning strategies for domain-specific LLM applications
• Build multi-agent systems that can collaborate to solve complex financial problems
• Implement guardrails, validation frameworks, and monitoring systems for AI applications

Data Engineering & Integration

• Design and build data pipelines to support AI/ML workflows, integrating market data, trade data, and research content
• Develop ETL processes for preparing training data and maintaining knowledge bases
• Create APIs and microservices to integrate AI capabilities into existing trading and risk platforms
• Optimize data storage and retrieval mechanisms for high-performance AI applications

Collaboration & Innovation

• Partner with business stakeholders to identify high-impact use cases for AI implementation
• Collaborate with quantitative researchers to integrate AI techniques into pricing and risk models
• Work with compliance and risk teams to ensure AI solutions meet regulatory and governance requirements
• Stay current with emerging AI technologies and evaluate their applicability to Global Rates business needs
• Contribute to the firm’s AI/ML community of practice and knowledge sharing initiatives

Required Qualifications
Education

• Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, Artificial Intelligence, or related quantitative field
• Strong academic foundation in algorithms, data structures, and software engineering principles

Professional Experience

• Professional experience in AI/ML engineering, software development, or data science roles
• Demonstrated experience building and deploying production AI applications
• Proven track record of delivering end-to-end technical solutions

Technical Skills - Core Requirements
Generative AI & Machine Learning:

• Hands-on experience with generative AI techniques and large language models (GPT, Claude, Llama, etc.)
• Practical experience implementing Retrieval-Augmented Generation (RAG) systems
• Experience with agentic frameworks and autonomous coding systems
• Knowledge of statistics and machine learning techniques

Programming & Development:

• Strong proficiency in Python
• Strong SQL skills
• Front end development

What Citi can offer you
By joining Citi London, you will not only be part of a business casual workplace and receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as:

• 27 days annual leave (plus bank holidays)
• A discretional annual performance related bonus
• Private Medical Care & Life Insurance
• Employee Assistance Program
• Pension Plan
• Paid Parental Leave
• Special discounts for employees, family, and friends
• Access to an array of learning and development resources

Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay, and empowered to thrive.
If you are actively working with clients, have a passion for relationships and want to be part of a successful global franchise - then apply today.
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

Job Family Group:
Institutional Trading ------------------------------------------------------
Job Family:
Trading ------------------------------------------------------
Time Type:
Full time ------------------------------------------------------
Most Relevant Skills
Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

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

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

Discover your future at Citi
Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.

Job Overview
Python Developer - FX Options Pricing and Market Data Distribution
The FX Options Pricing and Market Data distribution team is going through significant reengineering and modernisation. We are looking for an experienced Python developer and technologist to take a hands-on role in building out data analytics capabilities and developing frameworks that enable data scientists to leverage market data.
Responsibilities:

• Contribute to the design and development of the electronic FX Options Data Platform
• Building out reliable and fast data pipelines for quantitative analysis and trading.
• Design, build and support our data analytic infrastructure
• Collaborate with a global team of developers, quants and traders to translate business requirements into robust technical solutions
• Drive the design and development of system architecture, work with users of the system, and enhance the quality of deliverables
• Contribute to the continuous improvement of development, deployment and testing processes
• Share your knowledge and mentor other developers, fostering a collaborative and innovative team environment

Required Skills:

• Strong knowledge and experience of Python development.
• Experience implementing front office systems for Quants and Trading.
• Proficiency with Python frameworks such as FastAPI, Flask etc for building scalable applications
• Experience with Python libraries for financial applications (NumPy, Pandas, asyncio)
• Hands-on practical experience delivering system design, application development, testing, and operational stability, particularly in Linux based cloud environments
• Openshift/Kubernetes experience with containerized Python applications
• Caching technologies e.g. Redis, Memcached or others
• Middleware technologies: Kafka, RabbitMQ, Solace, or other message brokers
• Experience with Python package management and dependency management (pip, uv, conda)
• Awareness of industry trends and leveraging new technologies as appropriate
• Proven track record of building new systems, replacing legacy systems and renovating existing systems

Nice to have:

• Java and/or C# development experience
• Experience with quantitative libraries
• Familiarity with CI/CD pipelines for Python applications
• Experience working in finance

Job Family Group:
Technology ------------------------------------------------------
Job Family:
Applications Development ------------------------------------------------------
Time Type:
Full time ------------------------------------------------------
Most Relevant Skills
Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

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

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

Middle/Senior C++ Quant Developer - Market Making (HFT)

We’re partnering with a top‑tier electronic trading firm specialising in high‑frequency market making, currently building ultra‑low latency trading platforms operating across major European and US exchanges from their London office.

As part of continued growth, they’re expanding their market‑making team and are looking to hire a Mid to Senior C++ Quantitative Developers to work on core trading systems spanning pricing, execution, and risk. This is a genuine front‑office engineering role where your code is deployed directly to production and has a clear, measurable impact on live trading performance.

What You’ll Be Doing

• Designing, building, and optimising core components of the trading platform
• Owning performance‑critical C++ systems across pricing, execution, risk, and exchange connectivity
• Profiling and tuning systems across CPU, memory, cache, and network layers
• Working closely with traders and quantitative researchers to translate trading requirements into robust, low‑latency solutions

What They’re Looking For

• 4+ years’ experience in modern, performance‑critical C++ (C++17+)
• Strong foundations in systems programming (hardware, OS, memory, networking)
• Experience building real‑time or distributed systems with a focus on performance optimisation
• Comfortable using modern AI‑assisted development tools
• Experience with exchange protocols (FIX, ITCH/OUCH, PITCH, BOE)
• Background in electronic trading, market making, or quantitative trading

Apply for more info

The Group Investment Management (GIM) Team is hiring for a Senior Manager - Data Scientist to work in the Tooling and Data Team. Your ability to interpret and use data science and analytics to deliver your work and support the team is essential.

You will be able to use pro-actively measure and predict programme execution risk, using machine learning and AI to develop early warning risk indicators helping steer senior leadership attention to the parts of the portfolio where delivery of planned benefits and outcomes is at risk.

Your ability to present a suite of dashboards and metrics to provide senior management with tools for prioritisation and analysis will be key. The predictive risk metrics you will develop will allow timely management intervention, avoiding costly last minute write off and help foster a delivery discipline and delivery transparency culture.

You will play a pivotal role in transforming complex programme data into predictive insights that drive strategic investment decisions. You will take the lead on developing machine learning models and early warning indicators to proactively identify delivery risks across a multi-million-pound change portfolio. This is a unique opportunity to apply your data expertise in a high-impact, enterprise-level environment that values innovation, transparency, and delivery excellence.

Key Responsibilities

• Lead the design and implement machine learning models to predict programme delivery risks and financial overruns.
• Help integrate the insight generated into dashboards and visualisations (eg Power BI) to communicate insights to senior leadership, in collaboration with existing MI teams. Provide leadership to ensure that risk metrics and insights are actionable and trackable.
• Collaborate with senior stakeholders across the business to understand data needs and translate them into technical solutions.
• Conduct data cleaning, preprocessing, and integration from multiple sources (internal databases, APIs).
• Contribute to the development of the Group-wide delivery framework and assurance standards.
• Stay current with advancements in AI/ML and apply them to improve risk prediction and decision-making.
• Support the annual investment planning process with data-driven analysis and scenario

Required Experience & Qualifications

• Proficiency with Python or R, with experience in libraries such as scikit-learn, TensorFlow, or similar.
• Experience of LLM prompt engineering for systematic feature extraction from unstructured data.
• Strong SQL and data wrangling skills; experience with ETL processes.
• Solid understanding of statistical analysis and hypothesis testing.
• Experience building and deploying machine learning models in a business context
• Ability to communicate technical insights to non-technical audiences through visualisation tools (e.g., Tableau, matplotlib).
• Familiarity with fine tuning small LLM models to automate small topic extraction tasks from unstructured data.
• Familiarity with cloud platforms (e.g., AWS), especially AWS Bedrock and Snowflake data platform.
• Experience with enterprise programme management / PPM tools such as Clarity, Planview, Asana, and JIRA.
• Knowledge of SAP ERP and Workday systems data.
• Experience in financial services or programme delivery environments.
• Strong communication and collaboration skills.
• Self-starter with the ability to manage multiple priorities in a fast-paced environment.
• Commitment to continuous learning and innovation.

Career Stage:
Manager

London Stock Exchange Group (LSEG) Information:

Join us and be part of a team that values innovation, quality, and continuous improvement. If you’re ready to take your career to the next level and make a significant impact, we’d love to hear from you.

LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.

Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.

Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.

We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.

You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.

LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.

Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject .

If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

We are looking for an experienced and entrepreneurial Agentic AI Specialist to join our team. This role will focus on experimenting with, implementing, and scaling agentic AI solutions within a creative and operational environment. You will play a key role in shaping how AI is adopted, governed, and delivered across the business. Key Responsibilities \* Lead experimentation with agentic AI systems and workflows \* Design, build, and deploy AI-driven solutions using tools such as Anthropic’s Claude ecosystem (including Claude and Claude Code) \* Translate emerging AI capabilities into practical, business-ready applications \* Drive delivery of AI initiatives from concept through to implementation \* Establish best practices around AI governance, risk management, and control \* Clearly articulate risks, limitations, and ethical considerations of AI systems \* Collaborate with cross-functional teams to integrate AI into existing processes \* Stay at the forefront of developments in agentic AI and related technologies Required Experience & Skills \* Strong understanding of agentic AI systems and autonomous workflows \* Hands-on experience with Claude, Claude Code, or similar AI platforms \* Background in IT, software development, or as a tech-focused entrepreneur \* Proven track record of delivering technology solutions end-to-end \* Ability to balance innovation with governance, control, and risk mitigation \* Strong communication skills, with the ability to explain complex concepts clearly Preferred Background \* Experience in media, advertising, or creative industries \* Familiarity with implementing AI solutions in fast-paced, client-driven environments \* Experience working with emerging collaboration or AI workflow tools (e.g. Cowork or similar) Who You Are \* An “agentic experimenter” who is curious, hands-on, and outcome-driven \* Comfortable operating in ambiguity and shaping new roles or functions \* Both strategic and practical—able to think big while executing effectively \* A strong communicator who can bridge technical and non-technical stakeholders

Principal AI / Data Engineer (Contract): Length: 3 months initally (extension is likely) Start Date: ASAP Location: London, Hybrid (1 day per week) Pay Rate / Determination: £(Apply online only) p/d | Outside IR35 About: Opus is supporting a UK-based digital consultancy partnering with organisations to design, build and scale high‑impact digital and AI‑driven products, with a strong people‑first culture. The role: A hands‑on Principal AI / Data Engineer contract to assess, shape and deliver improvements to a live AI platform across two critical workstreams. You'll be responsible for: Assessing the current AI and data platform and define clear, actionable improvements Lead on delivery across two workstreams, aligning product, data and engineering Improving the natural language data exploration platform, focusing on trust and semantic consistency Designing and implementing scalable, multi‑source data pipelines and architecture About you: Strong experience with Python and AWS Deep knowledge of data pipelines, AI/ML systems and modelling Experience with LLM- or NLP‑powered platforms Strong focus on scalable, reliable system designPlease apply now and reach out to Adam at Opus for more information E: (url removed)

Your new company Working for a renowned financial services organisation Your new role We are seeking a Data Engineer to support the replacement of a legacy ETL tool with a modern Apache Spark based data platform. This is a hands‑on engineering role focused on building and supporting Spark jobs, with an emphasis on performance, reliability, and scalability. The role is focused on building nonperformance Apache Spark jobs, with a strong emphasis on performance optimisation. It is primarily Java‑based, with Python strongly encouraged; experience across Java, Python, and Scala is ideal, with Java and Python being the preferred combination. The role sits within a small Agile delivery team of four engineers (two onshore and two in Shenzhen), working closely with a Senior Data Engineer. You will be responsible for development work, sprint delivery, demos, documentation, and stakeholder engagement. This position suits a mid‑level engineer with strong Spark development experience rather than design, infrastructure, or management responsibilities. What you'll need to succeed Strong hands‑on experience with Apache Spark - Writing and tuning Spark jobs /PySpark development experience Strong Java or Java Spring boot development background Experience with programming in Python or Scala Exposure to Big Data technologies and distributed data processing Working with containerised environments using Kubernetes/ Airflow. Agile ways of working (Scrum, sprints, demos) Comfortable working in a distributed team Financial services or professional services experience required. What you'll get in return Flexible working options available. What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)