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DevOps Engineer

Up to £120,000

London (4-5 days a week in office)

This is an opportunity for a DevOps Engineer to work at the intersection of infrastructure engineering and AI technology within a high-performance environment. You will play a key role in building and scaling modern infrastructure platforms, with a particular focus on Kubernetes and on-premise environments that support business-critical workloads.

THE COMPANY

They are a globally operating investment and technology-driven organisation with a strong engineering culture. Their teams work closely with technical and business stakeholders to deliver robust, scalable infrastructure across a complex environment.

This role offers exposure to cutting-edge AI infrastructure initiatives while remaining firmly rooted in infrastructure and platform engineering. You will join a collaborative team that values technical excellence, automation, and continuous improvement.

THE ROLE

As a DevOps Engineer you will be responsible for designing, building, and supporting infrastructure and deployment platforms across predominantly on-premise environments.

Specifically, you can expect to be involved in the following:

• Building and supporting Kubernetes platforms and containerised workloads
• Developing and maintaining CI/CD pipelines using Jenkins and GitHub Actions
• Automating infrastructure through Infrastructure as Code using Puppet or Terraform
• Managing Linux environments, including security, patching, performance, and systems administration
• Creating automation solutions using Bash, Python, or PowerShell
• Supporting software delivery, release management, and source control processes
• Working closely with infrastructure, platform engineering, and business teams to deliver scalable solutions
• Contributing to projects involving AI and high-performance infrastructure environments

SKILLS AND EXPERIENCE

The successful DevOps Engineer will have the following skills and experience:

• Strong commercial experience within DevOps, Platform Engineering, Infrastructure Engineering, or Site Reliability Engineering
• Hands-on Kubernetes experience, including deployment and administration
• Proven experience working within on-premise infrastructure environments
• Strong Linux administration and troubleshooting skills
• Experience with Infrastructure as Code tools such as Puppet or Terraform
• CI/CD experience using Jenkins, GitHub Actions, or similar technologies
• Scripting experience with Bash, Python, or PowerShell
• Experience using Git-based source control tools
• Strong communication skills and the ability to work with both technical and non-technical stakeholders
• Experience working within Financial Services, Trading Technology or other regulated environments

BENEFITS

The successful Dev Ops Engineer will receive the following benefits:

• Salary up to £120,000 – depending on experience
• Up to 50% bonus

HOW TO APPLY

Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

Software Engineer – Treasury

Up to £200,000

London (4-5 days a week in office)

If you are looking for a software engineering role that combines technical ownership, business impact, and exposure to front, middle, and operational functions within a sophisticated investment environment, this opportunity offers a rare chance to build and own critical systems that support a global financial organisation. You will work closely with business stakeholders, solve complex problems, and see the direct impact of your work across the organisation.

THE COMPANY

They are a globally operating investment firm with a strong engineering culture and a significant focus on technology, automation, and innovation. Technology teams are embedded within the business and play an essential role in driving operational efficiency and supporting key investment functions.

Their Enterprise Engineering team develops and maintains business critical platforms spanning treasury, fund accounting, compliance, and middle office operations. Engineers are trusted with genuine ownership and are encouraged to contribute ideas, challenge processes, and deliver meaningful improvements.

THE ROLE

As a Software Engineer you will join a high-performing engineering team building mission-critical software that powers core operations across a leading investment firm.

Specifically, you can expect to be involved in the following:

• Design, build, and maintain production software used across treasury, fund accounting, compliance, and middle office functions
• Take ownership of systems and applications from development through to deployment and ongoing enhancement
• Collaborate closely with business stakeholders to understand requirements and deliver practical solutions
• Work across a mix of modern Python services and established object-oriented codebases
• Contribute to architectural discussions and system design decisions
• Partner with teams across technology and operations to solve complex business challenges

SKILLS AND EXPERIENCE

The successful Software Engineer will have the following skills and experience:

• Strong commercial software engineering experience with Python in a production environment
• Experience with at least one object-oriented programming language such as Java, C#, or C++
• Strong SQL skills and experience working with relational databases
• Background within buy-side financial services, hedge funds, asset management, or prime brokerage environments
• Ability to communicate technical concepts clearly to both technical and non-technical stakeholders
• Knowledge of treasury, fund accounting, middle office, financing, stock loan, or related operational functions is highly desirable

BENEFITS

The successful Software Engineer will receive the following benefits:

• Salary up to £200,000 – depending on experience

HOW TO APPLY

Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

Data Scientist
London (2 days per week)
Up to £65,000

This is an opportunity to join a leading data and analytics consultancy working on a wide variety of predictive modelling projects across utilities, telecommunications, financial services and customer insight. You’ll have the chance to take ownership of projects, work directly with stakeholders and apply Data Science techniques to solve real commercial challenges.

The Company
They are a well-established data and analytics consultancy that combines proprietary data assets with advanced analytical expertise to help organisations make better decisions. Their work focuses on customer intelligence, predictive modelling and analytics solutions that deliver measurable business outcomes.
Working across multiple industries, they partner with clients to solve challenges around customer acquisition, retention, collections, marketing effectiveness and operational performance. Their teams combine industry expertise, analytics and modern data platforms to deliver impactful solutions.

The Role
As a Data Scientist, you will develop predictive models and analytical solutions that support client decision-making and customer strategy.
Responsibilities include:

• Building machine learning models across use cases including propensity to pay, customer acquisition, churn prediction, lifetime value and segmentation
• Developing classification, regression and clustering models using customer and transactional data
• Working closely with clients and stakeholders to understand business problems and define analytical approaches
• Leading data discovery sessions and gathering requirements from subject matter experts
• Presenting insights, recommendations and model outputs to both technical and non-technical audiences
• Monitoring, refining and retraining models to ensure ongoing performance
• Collaborating with analysts, project managers and industry specialists to deliver client projects
• Contributing to reports, dashboards and client presentations

Your Skills & Experience

• Strong commercial Data Science experience within predictive modelling
• Advanced Python and SQL skills
• Experience building classification, regression and clustering models from the ground up
• Strong understanding of model performance, validation and optimisation
• Confident communicating insights to technical and non-technical stakeholders
• Experience with modern cloud and data platforms such as Databricks, AWS, Azure or Snowflake
• Exposure to customer analytics, credit risk, collections, telecommunications or utilities is advantageous
• Comfortable taking ownership of projects and working independently

What They Offer

• Salary up to £65,000
• Hybrid working with two days per week in London
• Exposure to a broad range of Data Science and machine learning projects
• Direct client engagement and stakeholder exposure
• Access to modern cloud and analytics technologies
• Strong opportunities for technical and professional development
• Collaborative and supportive working environment

To Apply for this Job Click Here

To Apply for this Job Click Here

Lead Data Engineer

£90,000 – £120,000

London or Bristol (1 day a week in office)

This is an opportunity to take ownership of a growing Azure-based data platform and play a key role in shaping its future. You will combine hands-on engineering with architectural decision-making, delivering a modern data environment that supports analytics, reporting, and business-critical applications.

THE COMPANY

They are a growing organisation investing heavily in data and technology to support continued expansion. Their data platform is central to business operations, reporting, and digital products, creating an opportunity to influence both technical strategy and delivery. You will work closely with senior technology stakeholders and help establish best practices as the data function evolves.

THE ROLE

As a Lead Data Engineer, you will own and shape a modern Azure data platform, combining hands-on engineering with architectural leadership in a business where data is central to growth and innovation.

Specifically, you can expect to be involved in the following:

• Lead the design, build, and enhancement of a modern Azure data platform.
• Develop scalable ETL and ELT pipelines using Azure Data Factory and Azure SQL.
• Implement robust data quality, validation, and monitoring frameworks.
• Deliver a layered data architecture that supports analytics, reporting, and operational applications.
• Modernise data ingestion processes using native Microsoft technologies.
• Build historical and time-series data models that provide deeper business insights.
• Implement infrastructure and deployment processes using source control and infrastructure-as-code principles.
• Establish engineering standards, documentation, and governance practices.
• Provide technical leadership and support the growth of the wider data engineering capability.

SKILLS AND EXPERIENCE

The successful Lead Data Engineer will have the following skills and experience:

• Strong commercial experience building and supporting production data platforms.
• Expertise with Azure Data Factory and Azure SQL.
• Experience developing ETL or ELT pipelines and transformation logic in production environments.
• Knowledge of data quality frameworks, validation processes, and monitoring.
• Experience implementing layered or medallion-style data architectures.
• Understanding of CI/CD, source control, and infrastructure-as-code approaches.
• Working knowledge of wider Azure data technologies such as Microsoft Fabric, Synapse, OneLake, or Azure Data Lake.
• Experience with modern transformation frameworks such as dbt or similar tooling.
• Strong communication skills with the ability to explain technical concepts to a range of stakeholders.

BENEFITS

The successful Lead Data Engineer will receive the following benefits:

• Salary between £90,000 – £120,000 – depending on experience

HOW TO APPLY

Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

Lead Data Engineer

£90,000 – £120,000

London or Bristol (1 day a week in office)

This is an opportunity to take ownership of a growing Azure-based data platform and play a key role in shaping its future. You will combine hands-on engineering with architectural decision-making, delivering a modern data environment that supports analytics, reporting, and business-critical applications.

THE COMPANY

They are a growing organisation investing heavily in data and technology to support continued expansion. Their data platform is central to business operations, reporting, and digital products, creating an opportunity to influence both technical strategy and delivery. You will work closely with senior technology stakeholders and help establish best practices as the data function evolves.

THE ROLE

As a Lead Data Engineer, you will own and shape a modern Azure data platform, combining hands-on engineering with architectural leadership in a business where data is central to growth and innovation.

Specifically, you can expect to be involved in the following:

• Lead the design, build, and enhancement of a modern Azure data platform.
• Develop scalable ETL and ELT pipelines using Azure Data Factory and Azure SQL.
• Implement robust data quality, validation, and monitoring frameworks.
• Deliver a layered data architecture that supports analytics, reporting, and operational applications.
• Modernise data ingestion processes using native Microsoft technologies.
• Build historical and time-series data models that provide deeper business insights.
• Implement infrastructure and deployment processes using source control and infrastructure-as-code principles.
• Establish engineering standards, documentation, and governance practices.
• Provide technical leadership and support the growth of the wider data engineering capability.

SKILLS AND EXPERIENCE

The successful Lead Data Engineer will have the following skills and experience:

• Strong commercial experience building and supporting production data platforms.
• Expertise with Azure Data Factory and Azure SQL.
• Experience developing ETL or ELT pipelines and transformation logic in production environments.
• Knowledge of data quality frameworks, validation processes, and monitoring.
• Experience implementing layered or medallion-style data architectures.
• Understanding of CI/CD, source control, and infrastructure-as-code approaches.
• Working knowledge of wider Azure data technologies such as Microsoft Fabric, Synapse, OneLake, or Azure Data Lake.
• Experience with modern transformation frameworks such as dbt or similar tooling.
• Strong communication skills with the ability to explain technical concepts to a range of stakeholders.

BENEFITS

The successful Lead Data Engineer will receive the following benefits:

• Salary between £90,000 – £120,000 – depending on experience

HOW TO APPLY

Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

DevOps Engineer

Up to £120,000

London (4-5 days a week in office)

This is an opportunity for a DevOps Engineer to work at the intersection of infrastructure engineering and AI technology within a high-performance environment. You will play a key role in building and scaling modern infrastructure platforms, with a particular focus on Kubernetes and on-premise environments that support business-critical workloads.

THE COMPANY

They are a globally operating investment and technology-driven organisation with a strong engineering culture. Their teams work closely with technical and business stakeholders to deliver robust, scalable infrastructure across a complex environment.

This role offers exposure to cutting-edge AI infrastructure initiatives while remaining firmly rooted in infrastructure and platform engineering. You will join a collaborative team that values technical excellence, automation, and continuous improvement.

THE ROLE

As a DevOps Engineer you will be responsible for designing, building, and supporting infrastructure and deployment platforms across predominantly on-premise environments.

Specifically, you can expect to be involved in the following:

• Building and supporting Kubernetes platforms and containerised workloads
• Developing and maintaining CI/CD pipelines using Jenkins and GitHub Actions
• Automating infrastructure through Infrastructure as Code using Puppet or Terraform
• Managing Linux environments, including security, patching, performance, and systems administration
• Creating automation solutions using Bash, Python, or PowerShell
• Supporting software delivery, release management, and source control processes
• Working closely with infrastructure, platform engineering, and business teams to deliver scalable solutions
• Contributing to projects involving AI and high-performance infrastructure environments

SKILLS AND EXPERIENCE

The successful DevOps Engineer will have the following skills and experience:

• Strong commercial experience within DevOps, Platform Engineering, Infrastructure Engineering, or Site Reliability Engineering
• Hands-on Kubernetes experience, including deployment and administration
• Proven experience working within on-premise infrastructure environments
• Strong Linux administration and troubleshooting skills
• Experience with Infrastructure as Code tools such as Puppet or Terraform
• CI/CD experience using Jenkins, GitHub Actions, or similar technologies
• Scripting experience with Bash, Python, or PowerShell
• Experience using Git-based source control tools
• Strong communication skills and the ability to work with both technical and non-technical stakeholders
• Experience working within Financial Services, Trading Technology or other regulated environments

BENEFITS

The successful Dev Ops Engineer will receive the following benefits:

• Salary up to £120,000 – depending on experience
• Up to 50% bonus

HOW TO APPLY

Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

DATA ENGINEER

Up to £70,000 + Benefits
London (Hybrid)
This is a great opportunity to join a high-growth FinTech where you can take ownership of the data infrastructure and decisioning systems that power a live lending platform.

THE COMPANY:

Thisis a fast-growing FinTech lender entering an exciting growth phase, supported by new funding. Rather than relying solely on traditional credit scoring, the business uses a broader range of financial and income data to provide a more personalised lending experience.

THE ROLE:

You will take ownership of the infrastructure, pipelines and production processes that support the company’s credit decisioning platform.
Key responsibilities include:

• Designing, building and maintaining production data pipelines across the lending lifecycle
• Developing, deploying and maintaining AWS Lambda-based decisioning processes
• Building and improving ETL/ELT workflows that support analytics, reporting and credit decisions
• Managing APIs and data integrations across internal and external data sources
• Improving monitoring, reliability, testing, documentation and production controls

This is a unique opportunity to become a foundational engineering hire within a small, ambitious team where you will have genuine ownership and visibility across the business.

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Python development
• AWS services including Lambda, EC2, CloudWatch and RDS
• SQL and database development, ideally with PostgreSQL
• Building, deploying and maintaining end-to-end production pipelines
• API development, integration and monitoring within live environments
• Experience within Lending, FinTech, Banking or Financial Services

THE BENEFITS:

You will receive a salary of up to £70,000 depending on experience, along with the opportunity to take ownership of a critical function within a rapidly scaling FinTech business.

HOW TO APPLY:

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Data Architect

Leeds/Remote

Up to £90,000

The Company

They are a well-established UK organisation with a significant national presence and a large, diverse data estate. Having already modernised their infrastructure and implemented a cloud-based Azure Data Lakehouse platform, they are now focused on improving data accessibility, governance, and analytical capability.

Data is a strategic priority across the business, with strong executive sponsorship and ongoing investment in technology, people, and processes. This creates an excellent opportunity for a Senior Data Architect to make a lasting impact.

The Role

You will lead the data modelling and architecture strategy across a modern Azure Data Lakehouse environment, ensuring scalable and governed data solutions that support both current reporting and future analytical use cases.

Key responsibilities include:

• Designing and governing enterprise-wide data models across Medallion Architecture layers.
• Creating curated semantic and analytical data models using dimensional modelling and Kimball methodologies.
• Defining data modelling standards, governance frameworks, and data feed specifications.
• Collaborating with Data Engineers, Analytics Engineers, and business stakeholders to deliver high-quality data solutions.
• Influencing wider business systems to embed data architecture principles across the organisation.
• Producing architecture documentation, diagrams, and data models while remaining hands-on in delivery.
• Acting as the technical authority for data architecture and data modelling best practice.
• Supporting the evolution from operational reporting to predictive and prescriptive analytics.

Your Skills & Experience

You will bring strong commercial experience in:

• Data Architecture and Data Modelling within large-scale enterprise environments.
• Dimensional modelling, star schemas, facts and dimensions, and Kimball methodologies.
• Designing and implementing Medallion Architecture frameworks.
• Building curated semantic layers within modern cloud data platforms.
• End-to-end data modelling from source systems through to analytics and reporting layers.
• Defining and implementing data governance, standards, and best practices.
• Azure Data Lakehouse and cloud-based data architecture environments.
• Stakeholder engagement, with the ability to influence technical and non-technical audiences.

Desirable experience includes:

• Banking, Financial Services, Legal Services, Professional Services, or similar complex regulated environments.
• Supporting organisations in the transition toward customer-centric or client-centric data models.

What They Offer

• Salary of £87,000 to £90,000.
• Comprehensive benefits package.
• Remote-first working with occasional travel.
• High visibility with senior technology leadership.
• The opportunity to become the organisation’s leading authority on data modelling and architecture.
• Significant autonomy, influence, and long-term career development opportunities.
• The chance to contribute to a major Azure Data Lakehouse transformation programme.

How to Apply

If you are an experienced Senior Data Architect with strong data modelling expertise and a passion for building modern cloud-based data solutions, apply today to learn more about this opportunity.

To Apply for this Job Click Here

To Apply for this Job Click Here

Role Level: Manager

Industry: Fintech / E-Commerce Risk & Fraud

About the Role

We are recruiting on behalf of a leading technology organization building cutting-edge Machine Learning products that power critical, real-time e-commerce decisions at scale.

We are looking for a ML Engineering Manager to lead a team of high-performing engineers. In this role, you will operate in an environment where every challenge is a mix of experimentation, scalable code, and statistics. You will split your team’s focus between continuous, near-term model improvements and high-impact, long-horizon innovation bets.

If you thrive in ambiguity, love digging into code and evaluation pipelines, and know how to empower engineers to do their best work, this role is for you.

Key Responsibilities

1. Lead & Grow the Team

• People Leadership: Conduct regular 1:1s, provide continuous feedback, and support individual career development and skill growth.
• Culture: Foster a safe, transparent environment where open discussion is encouraged-including celebrating well-documented experimental results that didn’t work.
• Hiring: Conduct technical and hiring manager interviews, train the team on interviewing techniques, and raise the bar for talent as the team grows.

2. Manage a Portfolio of Experiments

• Technical Mentorship: Partner with Tech Leads to pressure-test and refine ideas, ensuring the strongest hypotheses receive the compute and headcount needed.
• Rigor & Evaluation: Bring statistical rigor to experimental outcomes. Ensure offline results predict online behavior and evaluate performance beyond single test windows.
• Portfolio Management: Balance short-term delivery targets against multi-quarter research bets. Make clear calls on when to iterate, launch, or pull the plug on workstreams.

3. Partner & Drive Direction

• Stakeholder Alignment: Work directly with Risk partners to translate complex ML metrics into actionable business outcomes.
• Autonomy: Operate with high autonomy to set team directions based on measured performance data rather than rigid product backlogs.
• Cross-Functional Collaboration: Partner with platform and infrastructure teams to improve feature systems, training pipelines, and experimentation tooling.

What You Bring

• Experience: 5+ years in ML, Data Science, or ML-adjacent software engineering, including 3+ years of direct people management experience.
• Technical Depth: Genuine depth in applied statistics, ML engineering, or software engineering-with working competence in the others. You should feel comfortable reading code and inspecting evaluation pipelines.
• Leadership Under Uncertainty: Proven ability to lead teams through ambiguous problem spaces, set clear directions, and adapt when data points in a new direction.
• Communication: Exceptional written and verbal communication skills. Ability to articulate complex technical ideas clearly in documents and present to executive leadership.
• High Bar for Quality: A strong commitment to correctness, reproducibility, and reliable production systems.

Why Apply?

• Drive high-impact innovation bets that shape the future of ML capabilities.
• Lead a collaborative, ground-up culture where those closest to the problems are empowered to solve them.
• Enjoy a high degree of autonomy in a fast-paced, evidence-driven engineering environment.

To Apply for this Job Click Here

To Apply for this Job Click Here

AI Product Director

San Francisco Bay Area (Hybrid – Remote Initially)

Up to $300,000 Base + Bonus + Relocation Support

THE COMPANY

Our client is a family-owned fintech transforming B2B lending through production-grade AI. Rather than experimenting with AI, they already have AI agents live across underwriting and credit decisioning, powered by 18 years of proprietary lending data. The next phase of growth focuses on expanding AI across Sales, Customer Lifecycle, Finance and Capital Markets, delivering measurable commercial outcomes across the business.

The business is currently remote while establishing a Bay Area office, before moving to a hybrid working model. Relocation support is available for candidates moving to the area.

THE ROLE

Reporting to the chief credit officer, you’ll lead multiple AI transformation programmes, managing two AI Product Managers while overseeing 2-3 concurrent AI initiatives.

Working alongside business SMEs, you’ll map existing workflows before redesigning them from the ground up using AI. This is a true 0-1 product role, focused on building entirely new AI-powered processes rather than automating existing ones.

You’ll own product strategy and execution, write design briefs for engineering teams, manage external partners and ensure AI products successfully move from concept into production. Success will be measured through tangible business outcomes, including revenue growth, operational efficiency and productivity improvements.

YOUR SKILLS AND EXPERIENCE

• Experience delivering 0-1 AI products that transform business processes
• Product leadership experience within a scaling fintech or technology business
• Experience owning both product strategy and execution
• Strong stakeholder management with senior business leaders and SMEs
• Experience writing product specifications and working closely with engineering teams
• Experience contributing to AI solution design and architecture
• Track record delivering production AI products with measurable commercial impact

Ideal background:

• Fintech, lending or payments experience
• Scaling B2B technology businesses
• Experience managing multiple AI initiatives simultaneously

THE BENEFITS

• Up to $300,000 base salary
• Significant performance bonus
• Relocation package available
• Remote working initially before transitioning to a Bay Area office
• Opportunity to lead AI transformation in a business where AI is already live in production
• Executive visibility and ownership across multiple high-impact programmes

HOW TO APPLY

Please register your interest by sending your CV to Max Beadle at Harnham via the Apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

Software Engineer – Treasury

Up to £200,000

London (4-5 days a week in office)

If you are looking for a software engineering role that combines technical ownership, business impact, and exposure to front, middle, and operational functions within a sophisticated investment environment, this opportunity offers a rare chance to build and own critical systems that support a global financial organisation. You will work closely with business stakeholders, solve complex problems, and see the direct impact of your work across the organisation.

THE COMPANY

They are a globally operating investment firm with a strong engineering culture and a significant focus on technology, automation, and innovation. Technology teams are embedded within the business and play an essential role in driving operational efficiency and supporting key investment functions.

Their Enterprise Engineering team develops and maintains business critical platforms spanning treasury, fund accounting, compliance, and middle office operations. Engineers are trusted with genuine ownership and are encouraged to contribute ideas, challenge processes, and deliver meaningful improvements.

THE ROLE

As a Software Engineer you will join a high-performing engineering team building mission-critical software that powers core operations across a leading investment firm.

Specifically, you can expect to be involved in the following:

• Design, build, and maintain production software used across treasury, fund accounting, compliance, and middle office functions
• Take ownership of systems and applications from development through to deployment and ongoing enhancement
• Collaborate closely with business stakeholders to understand requirements and deliver practical solutions
• Work across a mix of modern Python services and established object-oriented codebases
• Contribute to architectural discussions and system design decisions
• Partner with teams across technology and operations to solve complex business challenges

SKILLS AND EXPERIENCE

The successful Software Engineer will have the following skills and experience:

• Strong commercial software engineering experience with Python in a production environment
• Experience with at least one object-oriented programming language such as Java, C#, or C++
• Strong SQL skills and experience working with relational databases
• Background within buy-side financial services, hedge funds, asset management, or prime brokerage environments
• Ability to communicate technical concepts clearly to both technical and non-technical stakeholders
• Knowledge of treasury, fund accounting, middle office, financing, stock loan, or related operational functions is highly desirable

BENEFITS

The successful Software Engineer will receive the following benefits:

• Salary up to £200,000 – depending on experience

HOW TO APPLY

Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

ML Engineering Manager
Fully Remote (U.S.) | 4-Day Work Week (No Fridays)
Up to $245K Base + Bonus + Equity
U.S. Citizen or Green Card Required

We’re partnering with an innovative, AI-driven company seeking a hands-on ML Engineering Manager to lead a team focused on building and deploying machine learning models at scale.

What You’ll Do:

• Lead and mentor a high-performing team of ML Engineers and Applied Scientists
• Drive the development of production machine learning systems and experimentation frameworks
• Balance near-term delivery goals with longer-term innovation initiatives
• Partner with technical and business stakeholders to turn data-driven insights into impact
• Stay close to the technology as a true player-coach while growing and developing your team

What We’re Looking For:

• 5+ years of ML, Data Science, or ML-focused Software Engineering experience
• 3+ years of people management experience
• Strong background in machine learning, experimentation, and production systems
• Proven ability to lead teams through ambiguity and complex technical challenges
• Excellent communication and stakeholder management skills

This is a rare opportunity to join a highly technical organization solving complex problems with AI while enjoying a true work-life balance through a four-day work week.

Reach out for more details. Confidential search.

To Apply for this Job Click Here