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Staff Software Engineer

Location: New York, NY (Hybrid)
Pay: $200k – $250k Base + Bonus & Equity

Overview

A fast-growing, venture-backed technology company operating in the global capital markets and legal intelligence space is building a next-generation document analysis platform. The company works at the intersection of large-scale financial data, complex legal documentation, and applied AI. This Staff Software Engineer role is backend-leaning and highly impactful, sitting at the core of the platform that delivers critical insights to end users.
You will play a key role in shaping backend architecture, APIs, and data pipelines that power a search-centric web experience used by sophisticated financial and legal professionals.

Responsibilities

• Design and build scalable backend services and APIs supporting a document analysis platform
• Develop high-performance server-side systems and data processing pipelines
• Define and evolve API contracts and contribute to core service architecture decisions
• Build composable API primitives to accelerate delivery of new document insights
• Integrate backend services with internal ML/AI systems and third-party tools
• Optimise performance for data-intensive backend workflows
• Contribute to frontend features as needed to deliver end-to-end solutions
• Take ownership of engineering quality, maintainability, and scalability
• Improve developer experience through CI/CD automation and production tooling

Must Have Qualifications

• 7-10 years of professional software engineering experience with a strong backend focus
• Proficiency in backend development using Node.js, Python, or Go
• Strong experience designing and building RESTful APIs and backend services
• Solid understanding of SQL and NoSQL databases and data modelling
• Experience with Docker, Kubernetes, and at least one major cloud platform (AWS, GCP, etc.)
• Bachelor’s degree in Computer Science or a related technical field (or equivalent experience)

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Senior Data Engineer
London Hybrid (Twice Per Week in London Office)
Up to £110,000 + 20% Bonus

This role stands out for the level of ownership and impact you will have on production grade data platforms that directly support advanced analytics and machine learning. You will work closely with highly skilled data and AI specialists, shaping how data is ingested, transformed, and used to drive meaningful commercial outcomes.

The Company
They are a data and technology driven organisation focused on building high quality analytics products that deliver measurable value. Data sits at the heart of everything they do, and they invest heavily in modern cloud platforms and engineering best practice. The culture is collaborative, delivery focused, and designed for people who want to build things properly. Their teams work on complex, real world data problems across multiple domains.

The Role
You will be responsible for designing and building scalable, reliable data infrastructure that supports analytics and machine learning use cases.

• Architecting and developing robust data pipelines across multiple sources
• Working closely with analytics and data science teams to prepare data for advanced modelling
• Building production ready data services and platforms in the cloud
• Applying best practice in data quality, reliability, and lifecycle management
• Engaging with stakeholders to understand data requirements and translate them into technical solutions

Your Skills and Experience

• Strong commercial experience as a Data Engineer using Python and SQL
• Proven capability building and maintaining cloud based data platforms
• Experience working with a range of data technologies such as relational databases, distributed processing, or modern data warehouses
• Confidence designing scalable, modular pipelines for analytics and machine learning
• Clear communication skills and the ability to work effectively with technical and non technical stakeholders

What They Offer

• Salary up to £110,000 plus a 20% bonus
• Hybrid working with flexibility to work from home and regular time in the London office
• Opportunity to work on high impact data and AI initiatives
• Strong career progression with exposure to complex, business critical systems
• A collaborative environment that values quality engineering and continuous improvement

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Senior Machine Learning Engineer
London, Hybrid (Twice Per Week)
Up to £110,000 + 20% Bonus

This is an opportunity to take ownership of end to end machine learning delivery in a role that blends technical depth with real world impact. You will work on production grade ML systems that directly improve operational and commercial outcomes, with the backing of a highly skilled, collaborative data team.

The Company
They are a specialist, data led organisation applying advanced analytics and machine learning to solve complex commercial problems. Their work spans the full lifecycle of data products, from discovery through to deployment, with a strong focus on building robust, scalable solutions. The environment is delivery focused, technically ambitious, and designed for people who want their work to make a measurable difference.

The Role
You will play a key role in designing, building, and productionising machine learning solutions across a range of use cases. Working closely with data scientists, data engineers, and delivery colleagues, you will help set technical standards and ensure solutions are production ready.
Key responsibilities include:

• Building and deploying machine learning models into live production environments
• Designing and maintaining MLOps workflows, including model lifecycle management
• Developing APIs and containerised services to support ML products
• Implementing DevOps best practices across development and production
• Collaborating cross functionally to align data, modelling, and business requirements

Your Skills and Experience

• Strong commercial experience developing machine learning solutions in Python
• Solid understanding of the Python ML ecosystem including libraries such as NumPy, pandas, and scikit learn, with exposure to PyTorch or TensorFlow
• Experience building and deploying containerised services and APIs
• Working knowledge of SQL and data driven application development
• Hands on experience with at least one major cloud platform such as AWS, GCP, or Azure
• Familiarity with MLOps tooling, workflow orchestration, or feature stores is highly beneficial

What They Offer

• Salary up to £110,000 plus a 20% bonus
• Hybrid working with two days per week in the London office
• Exposure to varied, high impact machine learning projects
• Clear scope for technical ownership and career progression
• A collaborative culture with strong investment in data and AI capability

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Senior ML Engineer
New York City
Up to $210K base + bonus + equity

Company

A global provider of mission‑critical data, analytics, and technology powering the world’s financial markets. The organization operates at massive scale, combining machine learning, advanced statistics, and high‑quality data to deliver insights used daily by financial institutions, corporates, and governments. The environment is highly technical, impact‑driven, and deeply focused on data integrity, product quality, and engineering excellence.

Mission

• Own and evolve advanced ML and statistical models used in production across large‑scale data platforms
• Design, develop, and deploy ML‑powered features that enhance analytics, risk assessment, and decision‑making
• Tackle complex, non‑standard modeling problems involving noisy, sparse, or highly regulated data
• Operate and support production ML systems, including model monitoring, incident analysis, and impact assessment
• Collaborate closely with Product, Data Engineering, and Platform teams to translate business problems into robust technical solutions
• Contribute to system design, architectural decisions, and rigorous code reviews
• Ship improvements continuously using CI/CD pipelines and infrastructure‑as‑code best practices

Profile

• Master’s degree (or equivalent) in Applied Mathematics, Statistics, or a closely related quantitative field (mandatory)
• 3+ years of professional experience building ML or data‑driven systems in production (excluding internships)
• Hands‑on experience deploying, monitoring, and maintaining ML models at scale
• Strong communication skills with the ability to work effectively in cross‑functional, product‑oriented teams
• Experience in financial data, risk modeling, or large‑scale analytics platforms is a plus, but not required

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I’m hiring multiple senior hires to join a growing AI and Digital Transformation consulting practice within a premium consultancy. This team has recently secured significant investment and is scaling quickly, with multiple hires across Lead and Principal level.

This is a role for people who want to own and deliver real AI transformation, not just advise on it.

The company

A high‑end consultancy working across defence, consumer, and public sector clients, known for delivering complex, high‑impact programmes.

They’ve built a strong reputation on delivering measurable commercial outcomes, not just strategy – and are now investing heavily in expanding their AI capability to stay ahead of competitors.

Where you fit

You’ll sit within the Digital / AI Consulting practice, working directly with clients to:

• Identify opportunities for AI and advanced analytics
• Design and deliver solutions end‑to‑end
• Embed those solutions into real business operations

This is a hands‑on leadership role – combining delivery, client engagement, and mentorship of other consultants.

What you’ll be doing

• Lead the design and delivery of AI and data science solutions (LLMs, NLP, ML, etc.)
• Work directly with senior client stakeholders to shape and deliver solutions
• Build and deploy end‑to‑end AI products, not just prototypes
• Apply technologies such as LLMs, RAG systems, and agentic workflows to real business problems
• Translate technical outputs into clear commercial value and measurable impact
• Mentor and develop consultants, helping build capability across the team
• Help shape the consultancy’s AI offering and go‑to‑market approach

Example work

• Using LLMs to improve decision‑making and workflow automation in complex environments
• Delivering predictive analytics in healthcare to improve outcomes and efficiency
• Building AI‑driven optimisation tools in retail to improve pricing and margins
• Supporting large‑scale programmes across defence and public infrastructure

What you bring

Core requirements

• Strong data science / machine learning background
• Experience delivering AI / GenAI solutions (LLMs, NLP, etc.)
• Proven ability to take solutions from concept through to real-world deployment
• Experience leading projects, workstreams, or teams
• Strong stakeholder engagement skills – client‑facing and commercially focused
• Evidence of measurable impact (revenue uplift, cost savings, efficiency gains, etc.)

Nice to have

• Consulting experience (highly preferred)
• Experience across regulated or complex sectors (defence, public sector, retail, etc.)
• Familiarity with modern stacks (Python, cloud, Databricks, APIs, etc.)
• Experience mentoring or leading junior team members

Why this role

• Shape and scale a growing AI consulting capability
• Work on complex, high‑impact projects across multiple industries
• Strong blend of technical delivery, commercial impact, and leadership
• High visibility internally and with clients
• Opportunity to progress to partner level over time

Working style

• London base (or nearest office)
• Hybrid working, with regular client travel
• 3 days total per week
• Flexible, project‑led environment

Interview process

• Online assessment (incl. logical / aptitude test)
• Informal first conversation (director‑level, including short presentation)
• Final stage onsite in London (presentation + discussion)

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Principal Machine Learning Engineer

New York | Hybrid | Principal IC

$170,000 to $210,000

Join a world‑class AI & ML team building production‑grade Generative and Agentic AI systems at enterprise scale.

The role

As a Principal ML Engineer, you’ll sit at the sharp end of applied AI, architecting and shipping LLM, RAG and agentic platforms used across the business. This is a hands‑on senior IC role with real influence: setting engineering standards, mentoring senior engineers, and shaping AI strategy alongside leadership.

What you’ll be doing

• Designing, deploying and operating LLMs, RAG pipelines and autonomous agents
• Building scalable Python backends & APIs (FastAPI, async systems)
• Owning LLMOps/MLOps, cloud AI infrastructure and observability
• Driving best practice across ML, software engineering and platform design

What we’re looking for

• 10+ years in ML / software / data roles, expert Python engineer
• Strong experience with GenAI frameworks, cloud platforms (AWS/GCP/Azure)
• Production mindset: distributed systems, reliability, scalability
• Comfortable influencing teams and leaders without line management

Why apply

• Principal‑level impact and autonomy
• Cutting‑edge AI at real scale (not POCs)
• High‑trust, high‑performance engineering culture

Apply NOW!

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12 Month FTC Role

Senior Data Scientist (12 Month Fixed Term Contract)
London (Hybrid, 2 days per week in the office)

This is a rare opportunity to step into a senior, end to end role where you will take full ownership of high impact data science and AI projects during a critical period of transition. You will work across a genuinely mixed portfolio of traditional machine learning and modern generative AI, with real responsibility for design, deployment, and stakeholder outcomes.

The Role
You will join a blended Data Science and AI Engineering team, covering a maternity leave where projects are already live and business critical. You will own work end to end, from scoping and solution design through to production deployment and ongoing monitoring.

Key responsibilities include:

• Owning and delivering machine learning and AI projects from problem definition to production.
• Designing models from scratch across both structured and unstructured data use cases.
• Building and deploying LLM based solutions including summarisation and agentic workflows.
• Delivering traditional machine learning models using techniques such as gradient boosting.
• Working closely with product, engineering, and business stakeholders to define requirements and trade offs.
• Deploying models using cloud infrastructure, CI/CD pipelines, and MLOps best practices.
• Taking responsibility for monitoring, performance, and ongoing improvement of live models.

Your Skills and Experience

• Strong commercial data science experience with a solid grounding in classical machine learning.
• Hands on experience deploying and owning models in production environments.
• Good understanding of LLMs and modern AI approaches, or clear capability to apply them in production.
• Experience working with cloud platforms and deployment pipelines, with exposure to CI/CD and MLOps.
• Confident working end to end, from exploratory analysis through to scalable deployment.
• Comfortable operating in regulated or complex environments.
• Strong stakeholder management and communication skills, with the ability to translate business needs into technical solutions.

Please note, this is a 12 month FTC

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Product Analyst
Up to £85,000 + Bonus
Hybrid – London (2x days per week)

This is an exciting opportunity to join a fast‑growing digital organisation where data sits at the heart of every decision. You will play a pivotal role in shaping how product teams understand user behaviour, influence product strategy, and unlock opportunities that drive measurable impact.

The Company
They are a consumer-focused digital business committed to creating meaningful experiences for their members. With a mission-driven culture and a period of rapid expansion, they are investing heavily in data, analytics, and experimentation. Collaboration, innovation, and continuous learning are central to how they operate. They offer a flexible hybrid environment with a strong focus on development and wellbeing.

The Role
* Use quantitative analysis and data storytelling to uncover user behaviours and inform product strategy.
* Generate hypotheses, support experiments, and identify new opportunities.
* Define and maintain key product metrics, ensuring clarity and alignment across teams.
* Build dashboards and self-serve tools that empower stakeholders.
* Conduct deep-dive analyses to influence strategic decisions.
* Contribute to shared knowledge and promote best practices across data teams.

Your Skills and Experience
* Strong commercial experience in analytical roles within digital products.
* Proficient in SQL and analytical tools such as Python or R.
* Skilled in dashboarding with tools like Looker, Tableau, or similar.
* Confident translating complex data into actionable insight for varied audiences.
* Curious, collaborative, and proactive in solving problems.

What They Offer
Competitive salary, hybrid working, comprehensive benefits, generous leave, wellbeing support, and a culture that champions growth.

How to Apply
To register your interest, send your CV or apply below.

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Forward Deployed Senior Data Scientist

Salary: $175,000+ (Depending on Experience)

Locations: Remote (with 25% travel)

THE COMPANY

A high‑growth, mission‑focused technology organisation is expanding its advanced analytics and AI function. Operating in a complex, data‑rich environment, the team builds scalable, high‑impact AI systems that support critical decision‑making and deliver tangible operational value. The environment is fast‑paced, innovative, and ideally suited to someone who thrives in high‑autonomy, high‑impact roles.

THE ROLE

As a Forward Deployed Senior Data Scientist, you will work directly with stakeholders to translate complex problems into deployable AI solutions. You’ll use a combination of proprietary and commercial datasets to uncover insights, build models, and deploy production‑ready systems that support strategic decision‑making.

This role blends hands‑on data science, AI engineering, rapid prototyping, and end‑to‑end delivery ideal for someone who is highly analytical, scrappy, and passionate about solving complex technical challenges with real‑world impact.

KEY RESPONSIBILITIES

• Build advanced AI/ML/DS models and systems tailored to high‑value operational challenges
• Develop new AI‑driven technology stacks designed for specific customer use cases
• Lead end‑to‑end delivery of AI projects, from scoping to production deployment
• Partner with research, engineering, and software teams to deliver robust AI products
• Define architectural standards and project roadmaps for scalable AI systems
• Create evaluation frameworks for AI deployments, including performance, reliability, and observability
• Mentor junior team members and help shape a culture of excellence and innovation
• Stay current with emerging techniques in AI, LLMs, and agentic systems; drive adoption of best practices
• Build agentic AI systems leveraging reasoning frameworks and orchestrators
• Act as a technical leader, translating high‑level objectives into actionable technical plans

EXPERIENCE REQUIRED

• Extensive experience designing, developing, and delivering AI/ML solutions end‑to‑end
• Strong software and data science fundamentals (Python essential)
• Experience building production‑grade AI systems and integrating them into customer environments
• Ability to collaborate across research, engineering, and product teams
• Experience working with large‑scale datasets and cloud‑based ML deployments
• Strong organisational skills and the ability to communicate complex ideas clearly
• Proven ability to operate independently in fast‑moving environments and manage competing priorities
• Passion for rapid prototyping, experimentation, and building high‑impact solutions

DESIRABLE EXPERIENCE

• Publications in top AI/ML/NLP or decision science venues
• Experience developing evaluation systems for LLMs or agentic models
• Experience with fine‑tuning, post‑training, or advanced model adaptation
• Familiarity with MLOps, monitoring, deployment, and large‑scale model management
• Track record of converting research prototypes into production systems

THE OFFER

• Competitive compensation (around $175,000 base depending on experience)
• Opportunity to work on deeply impactful, high‑scale AI challenges
• High degree of autonomy, technical ownership, and end‑to‑end influence
• A fast‑paced, innovation‑driven environment with strong technical peers
• Exposure to cutting‑edge modelling, LLMs, and agentic system development

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Lead AI Engineer

$200,000

Location: Pittsburgh, PA (Onsite)

THE COMPANY

A high‑growth, mission‑driven technology organisation is expanding its advanced AI function. The team specialises in building intelligent autonomous systems designed to operate across complex workflows and high‑stakes environments. Engineers here work on cutting‑edge agentic technologies with significant ownership and impact.

THE ROLE

As the Lead AI Engineer, you’ll guide a specialised engineering team responsible for designing, building, and deploying next‑generation agentic AI systems. You will lead technical strategy, architecture decisions, and hands‑on development, while also mentoring engineers and driving best‑in‑class standards for performance, reliability, and scalability.

You’ll oversee the development of agents capable of long‑horizon planning, tool‑use, memory, and coordination across multi‑agent environments, ensuring they can operate effectively in real‑world mission‑critical settings.

KEY RESPONSIBILITIES

• Lead the design and development of agentic AI systems from conception through production
• Architect multi‑agent systems with planning, routing, memory, and complex tool‑use
• Build modular “skills” and components that plug into backend systems and data pipelines
• Establish evaluation frameworks, telemetry systems, and observability tools for agent behaviour
• Guide Agile processes, technical planning, and day‑to‑day engineering execution
• Partner with product and delivery teams to solve complex operational challenges
• Provide mentorship and technical leadership to engineers and data scientists

EXPERIENCE REQUIRED

• Several years of experience building and deploying ML or LLM‑powered systems in production
• Experience leading or mentoring engineering teams
• Demonstrated expertise in LLM integration and agentic system development
• Strong Python engineering skills
• Hands‑on experience with cloud infrastructure (AWS preferred)
• Familiarity with LLM algorithms, scaling patterns, and system reliability
• Ability to operate autonomously in high‑pace, ambiguous environments
• Comfortable with Git and modern engineering workflows

DESIRABLE EXPERIENCE

• Experience designing or deploying complex multi‑agent architectures
• Exposure to startup or high‑growth engineering cultures
• Experience with GenAI coding tools or best practices for agentic systems
• Eligibility to work in secure or sensitive environments

THE OFFER

• Ownership over next‑generation agentic AI strategy and architecture
• Opportunity to lead a high‑impact engineering team
• Work with cutting‑edge LLM and agentic technologies
• Fast‑paced environment with strong technical autonomy

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