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PLATFORM ENGINEER

LONDON

£70,000 – £80,000

This is a rare opportunity to join a small, highly capable platform team at a pivotal point in a long-term technology transformation. You will play a key role in reshaping core infrastructure, driving automation and scalability, and influencing how the platform evolves over the next phase of growth.

THE COMPANY
They are a well-funded fintech operating in the high-net-worth space, building technology that aggregates complex financial data to deliver intelligent, life‑focused insights. The business is product-led, engineering-driven, and focused on long-term quality over short-term fixes. Their culture encourages curiosity, open communication, and thoughtful challenge, with engineers expected to contribute ideas, not just code.

THE ROLE

• Design, build, and evolve Kubernetes-based platform infrastructure as part of a broader architectural refresh.
• Drive improvements in automation, scalability, and reliability across the platform.
• Contribute to decisions around cloud architecture and core frameworks.
• Collaborate closely with platform, data, and engineering teams to enable faster and safer delivery.
• Document designs clearly and communicate ideas effectively to both technical and non-technical stakeholders.

YOUR SKILLS AND EXPERIENCE:

• Strong hands-on experience building and operating Kubernetes environments.
• Experience working with a major cloud platform such as AWS, GCP, or Azure.
• Confidence designing scalable, automated infrastructure rather than maintaining legacy setups.
• Exposure to infrastructure as code, Terraform experience is beneficial but not essential.
• Comfortable sharing ideas, challenging existing approaches, and collaborating in a small team environment.

SALARY AND BENEFITS

• Salary Sacrifice Schemes: Electric Car Scheme, Workplace Nursery Scheme, Cycle to Work Scheme, and Gym Benefit.
• Option for salary sacrifice pension with Nest.
• Seasonal and team socials.
• Support for mental health.

How to Apply
Please register your interest by sending your CV to Nihal Singh through the ‘Apply’ link

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Platform Engineer
London, Hybrid (2x Per Week in Office)
Up to £80,000

This is an opportunity to join a fast growing, venture backed fintech at a genuinely pivotal moment. The platform has already scaled to support a complex, high value user base, and the business is now preparing for a major re-architecture that will shape the next phase of growth. You will play a key role in redefining core infrastructure, driving automation, and influencing technical direction from day one.

The Company
They are a well funded financial technology business operating in the high wealth space, focused on delivering intelligent, data driven financial insight rather than traditional asset or wealth management. The platform aggregates complex financial data into a single, intuitive view and provides tailored guidance aligned to long term life goals. The culture is collaborative, ideas led, and engineering driven, with a strong emphasis on quality, transparency, and continuous improvement.

The Role

• Design, build, and evolve a scalable platform environment as part of a small, high impact engineering team.
• Play a hands on role in a significant re platforming programme, modernising Kubernetes clusters, tooling, and architectural foundations.
• Drive automation and reliability across infrastructure to support growth, performance, and security.
• Collaborate closely with engineering, data, and leadership stakeholders to shape technical decisions and priorities.
• Contribute ideas, challenge assumptions, and help define best practice across the platform function.

Your Skills and Experience

• Strong commercial experience working with Kubernetes in production environments.
• Cloud platform exposure across AWS, GCP, or Azure, with an understanding of scalable infrastructure design.
• Infrastructure as Code experience, with Terraform or similar tooling.
• Confidence operating in change heavy environments such as scale ups or transformation programmes.
• Clear communication skills and a proactive approach to collaboration and problem solving.

What They Offer

• Salary up to £80,000 depending on experience.
• Hybrid working from a London office, with flexibility depending on role and responsibilities.
• The chance to influence architecture and platform strategy at a critical stage of growth.
• A supportive, non hierarchical culture that values new ideas and technical ownership.
• Long term career progression within a growing technology organisation.

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Senior Software Engineer (Python)

Hybrid London (2 days/week)

Up to £100,000 + Benefits

We’re hiring a Senior Software Engineer to play a key role in building and scaling a high-impact ad-fraud prevention platform used globally. This is a senior IC role for engineers who enjoy ownership, solving complex problems, and setting a high bar for engineering quality.

What you’ll do:

• Lead delivery of complex, cross-service features

• Make pragmatic architecture and design decisions

• Own services end-to-end, including performance, reliability, and incident response

• Set standards for testing, observability, and security

• Mentor engineers and contribute to strong team practices

• Collaborate closely with Product, Design, and Data teams

What we’re looking for:

• Strong experience as a Senior Software Engineer in modern product teams

• Proven ability to design and deliver scalable, reliable systems

• Experience operating production services

• Strong coding, code review, and technical leadership skills

• Comfortable working through ambiguity and influencing technical direction

Why apply?

• Salary up to £100,000

• Hybrid working – 2 days per week in the London office

• High ownership, high-impact role

• Strong engineering culture focused on quality and reliability

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Consultant – Managing Consultant – Senior Manager – Contextual Systems Engineering

Locations: Atlanta | New York City | Chicago | Seattle | San Francisco

A leading transformation consultancy is hiring Contextual Systems Engineers to help build AI‑ready data and knowledge foundations for enterprise clients.

This is a hands‑on consulting role, focused on semantic layers, analytics engineering, and contextual data platforms that enable AI systems to operate effectively at scale.

What you’ll do

• Design and implement semantic layers (metrics, dimensions, business models)
• Build and maintain data pipelines feeding analytics and AI systems
• Contribute to knowledge graph and context platform design
• Document data models, definitions, and context contracts
• Work closely with consultants, architects, and client teams

What we’re looking for

• 3-12 years experience in analytics engineering, data engineering, or data architecture
• Strong SQL and experience building data pipelines
• Experience with dbt, LookML, or similar semantic/metrics layers
• Exposure to cloud data platforms (Snowflake, BigQuery, Redshift, Databricks)
• Consulting or client‑facing experience preferred

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Senior Consultant – Managing Consultant – Senior Manager – Forward Deployed Engineering

Locations: Atlanta | New York City | Chicago | Seattle | San Francisco

An enterprise data and AI consulting group is seeking Forward Deployed Engineers to deliver embedded, production‑grade solutions within complex client environments.

This role is ideal for engineers who enjoy owning delivery end‑to‑end, working directly with client teams, and seeing solutions adopted in the real world.

What you’ll do

• Own embedded technical workstreams from requirements to deployment
• Build and maintain production data pipelines and AI workflows
• Partner closely with client engineers and data leaders
• Drive adoption through pairing, documentation, and enablement
• Mentor junior consultants on delivery best practices

What we’re looking for

• 5-6 years experience in client‑facing or embedded engineering roles
• Strong Python and SQL skills
• Experience building and deploying production data pipelines
• Comfort working independently in ambiguous client environments
• Experience with enterprise platforms (e.g. Palantir Foundry or similar) is highly desirable

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Marketing Data Scientist

London | £45,000 to £55,000 + bonus and benefits
No sponsorship offered – must have full right to work in the UK

This is a rare opportunity to join a growing data science function at a pivotal moment for the business. With senior backing, fresh investment, and a clear focus on marketing effectiveness, this role offers real ownership, visibility, and the chance to shape how data science drives commercial decisions at scale.

The Company

They are a well established, international organisation undergoing a period of transformation, with a renewed focus on data driven decision making. A new leadership team is investing heavily in analytics to improve customer understanding, optimise marketing spend, and drive long term growth. The data science team has expanded rapidly and continues to grow across the UK and US, creating strong collaboration and progression opportunities.

The Role

You will sit within a marketing measurement and reporting team, focusing on understanding and improving marketing performance across channels. This role combines hands on modelling with real business impact.

Key responsibilities include:

• Developing and enhancing media mix models to measure and optimise marketing investment.
• Scaling an established UK modelling framework and applying it to international markets.
• Leading the evolution of marketing effectiveness modelling, with support and one direct report.
• Working closely with marketing, CRM, and analytics stakeholders to turn insights into action.
• Contributing to wider data science projects such as experimentation, propensity modelling, and recommendation systems.
• Owning projects end to end, from problem definition through to measurable business impact.

Your Skills and Experience

• Strong hands on experience with Python and applied machine learning.
• Solid grounding in statistical and predictive modelling techniques.
• Experience designing experiments and evaluating performance using A B testing or similar approaches.
• Confidence working with real world, messy data and delivering production ready solutions.
• Familiarity with cloud environments such as AWS is beneficial.
• Exposure to Bayesian methods, random forests, or marketing analytics is advantageous but not essential.
• Ability to demonstrate how your work has delivered tangible value or influenced decision making.

What They Offer

• Salary between £45,000 and £55,000 depending on experience.
• 10 percent annual bonus.
• Pension with 3 percent employer and 5 percent employee contribution.
• Hybrid working with 2 to 3 days per week in the London office.
• Clear progression as the data science team continues to grow and invest.

How to Apply

If you are looking for a hands on marketing focused data science role with ownership, impact, and urgency, apply now to be considered. Sponsorship is not available for this role.

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