MLOPs Engineer
London / £480 - £640 day
INFO
£480 - £640
LOCATION
London
Contract
MLOps Engineer
Outside IR35 - 500-600 Per Day
Ideally, 1 day per week/fortnight in the office, flexibility for remote work for the right candidate.
A market-leading global e-commerce client is urgently seeking a Senior MLOps Lead to establish and drive operational excellence within their largest, most established data function (60+ engineers). This is a mission-critical role focused on scaling their core on-site advertising platform from daily batch processing to real-time capability.
This role suits a hands-on MLOps expert who is capable of implementing new standards, automating deployment lifecycles, and mentoring a large engineering team on best practices.
What you'll be doing:
MLOps Strategy & Implementation: Design and deploy end-to-end MLOps processes, focusing heavily on governance, reproducibility, and automation.
Real-Time Pipeline Build: Architect and implement solutions to transition high-volume model serving (10M+ customers, 1.2M+ product variants) to real-time performance.
MLflow & Databricks Mastery: Lead the optimal integration and use of MLflow for model registry, experiment tracking, and deployment within the Databricks platform.
DevOps for ML: Build and automate robust CI/CD pipelines using GIT to ensure stable, reliable, and frequent model releases.
Performance Engineering: Profile and optimise large-scale Spark/Python codebases for production efficiency, focusing on minimising latency and cost.
Knowledge Transfer: Act as the technical lead to embed MLOps standards into the core Data Engineering team.
Key Skills:
Must Have:
MLOps: Proven experience designing and implementing end-to-end MLOps processes in a production environment.
Cloud ML Stack: Expert proficiency with Databricks and MLflow.
Big Data/Coding: Expert Apache Spark and Python engineering experience on large datasets.
Core Engineering: Strong experience with GIT for version control and building CI/CD / release pipelines.
Data Fundamentals: Excellent SQL skills.
Nice-to-Have/Desirable Skills
DevOps/CICD (Pipeline experience)
GCP (Familiarity with Google Cloud Platform)
Data Science (Good understanding of math/model fundamentals for optimisation)
Familiarity with low-latency data stores (e.g., CosmosDB).
If you have the capability to bring MLOps maturity to a traditional Engineering team using the MLFlow/Databricks/Spark stack, please email: with your CV and contract details.
CONTACT
Thomas Savidge
Recruitment Consultant
SIMILAR
JOB RESULTS
Data Engineer
London
£70000 - £83000
+ Data Engineering
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Data Engineer
Salary: £83,000
Location: London (3 Days in Office)
Shape the future of data-driven decision-making by transforming raw information into trusted, insight-ready assets. Join a team where analytics engineering fuels innovation, intelligence, and impact across the business.
The Opportunity
This is an exciting opportunity to help shape the foundation of a modern, data-enabled organisation. You’ll design and build scalable analytics models and pipelines that transform raw data into trusted insights, powering smarter decisions across every level of the business.
Working at the intersection of data engineering and analytics, you’ll bring structure, governance, and innovation to complex data ecosystems. The role offers the chance to influence how data drives strategy, automation, and AI adoption. It’s a perfect fit for someone who’s passionate about clean design, collaboration, and the pursuit of data excellence.
Role and Responsibility
In this role, you’ll develop and maintain robust data models and transformation pipelines using Databricks, Azure, and Power BI to turn complex datasets into reliable, insight-ready assets. You’ll apply strong skills in SQL, Python, and PySpark to build efficient ELT workflows and ensure data quality, performance, and governance. Collaboration will be key as you partner with analysts and business teams to align data models with reporting, AI, and automation needs.
You’ll also contribute to the adoption of CI/CD, version control, and metadata-driven practices that enhance scalability and trust in analytics outputs. This is a hands-on role where technical precision and design thinking come together to enable a data-first culture.
Interview Process
- Introductory Chat
- Technical and Stakeholder Conversation with Senior Team
Apply now to help shape the future of data-driven decision-making and make your mark in a truly analytics-led environment.
To Apply for this Job Click Here
Lead Data Scientist
Leicester
£60000 - £80000
+ Data Science & AI
PermanentLeicester, Leicestershire
To Apply for this Job Click Here
Lead Data Scientist – Leicester
We are working with a leading UK retailer and ecommerce company. The role focuses on marketing campaigns, recommendation systems and customer segmentation.
You will be a technical lead within the business and work closely with teams to drive measurable impact through various models.
They’re looking for someone with:
- Strong experience in Python & SQL – this will be tested in the interview
- Experience working across MMMs, Attribution, Churn, Propensity or LTV models
- Neural networks or Transformers
The position is hybrid, based in the Midlands, offering flexible working, competitive pay, and excellent benefits.
To Apply for this Job Click Here
Lead Data Scientist
Birmingham
£100000 - £150000
+ Data Science & AI
PermanentBirmingham, West Midlands
To Apply for this Job Click Here
Lead Data Scientist (3 days onsite) – Travel Required
Join a forward-thinking consultancy that’s been redefining the industry for over a decade. Operating across sectors such as Defence, Retail, Government, and Healthcare, the firm delivers cutting-edge Data Science and Machine Learning solutions that drive measurable transformation. By blending strategic insight with deep technical expertise, they empower organizations to turn ambitious ideas into meaningful, data-driven impact.
What You’ll Do
- Lead the end-to-end delivery of data science and machine learning projects, from discovery to deployment.
- Shape and execute data science strategies that directly support client objectives and organizational growth.
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- Stay ahead of the curve in AI and ML innovation, identifying opportunities to integrate emerging technologies into client solutions.
- Partner with business development teams to support proposals, present solutions, and uncover new consulting opportunities.
Please note, this role will require travel across the UK to client site
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Data Science Consultant
Birmingham
£100000 - £150000
+ Data Science & AI
PermanentBirmingham, West Midlands
To Apply for this Job Click Here
Lead Data Scientist (3 days onsite) – Travel Required
Join a forward-thinking consultancy that’s been redefining the industry for over a decade. Operating across sectors such as Defence, Retail, Government, and Healthcare, the firm delivers cutting-edge Data Science and Machine Learning solutions that drive measurable transformation. By blending strategic insight with deep technical expertise, they empower organizations to turn ambitious ideas into meaningful, data-driven impact.
What You’ll Do
- Lead the end-to-end delivery of data science and machine learning projects, from discovery to deployment.
- Shape and execute data science strategies that directly support client objectives and organizational growth.
- Design and implement custom algorithms and models to solve complex business challenges and generate tangible value.
- Stay ahead of the curve in AI and ML innovation, identifying opportunities to integrate emerging technologies into client solutions.
- Partner with business development teams to support proposals, present solutions, and uncover new consulting opportunities.
Please note, this role will require travel across the UK to client site
To Apply for this Job Click Here
Data Scientist
Nottingham
£55000 - £65000
+ Data Science & AI
PermanentNottingham, Nottinghamshire
To Apply for this Job Click Here
Data Scientist / AI Engineer
Nottingham-based (2 days a week)
£60K
We are working with a AI start up who transform leading research into AI technologies, solving meaningful problems for clients in the retail and healthcare sectors.
What We Do
Retail: Promotions, pricing, and forecasting – building scalable AI systems to automate and optimise decision-making.
Healthcare: Research-driven AI projects with open problem spaces – early-stage innovation and experimentation.
We’ve built AI systems for retail clients and are now focusing on making these solutions repeatable and deployable across industries.
Essential Skills
- Strong programming skills in Python
- Solid understanding of SQL and data manipulation
- Background in Mathematics, Statistics, or Computer Science (MSc or PhD preferred)
- Experience building or deploying machine learning models
- Ability to work in a fast-paced, collaborative startup environment
To Apply for this Job Click Here
Digital Marketing Analyst
London
£35000 - £40000
+ Digital Analytics
PermanentLondon
To Apply for this Job Click Here
Digital Marketing Analyst
London (Hybrid)
£35,000-£40,000
THE COMPANY
Join an award-winning data intelligence consultancy that sits within a global marketing group, helping some of the world’s biggest brands turn marketing data into real business impact; you’ll be part of a small, collaborative analytics team working across exciting clients in finance, telecoms, and more!
THE ROLE
This is a great step up for someone currently doing channel-level reporting or performance marketing analytics who wants to move into a broader, more strategic role. You’ll be turning marketing and performance data into insight, not just dashboards. Day-to-day, you’ll:
- Analyse data from GA4, Adobe Analytics, Google Ads, DV360, and social platforms
- Build and deliver marketing performance dashboards in Power BI / Looker / Excel
- Present insights and recommendations back to clients
- Partner with account and media teams to improve marketing effectiveness
YOUR SKILLS AND EXPERIENCE
- Experience in marketing or digital analytics, ideally in an agency or a consultancy
- Data visualisation skills (Power BI, Looker, Excel)
- Confident communicator – able to talk clients through insights
THE BENEFITS
- £35,000-£40,000
HOW TO APPLY
Please register your interest by sending your CV to Adam Osborne at Harnham via the Apply link on this page
To Apply for this Job Click Here
Data Product Manager
£90000 - £100000
+ Advanced Analytics & Marketing Insights
PermanentEngland
To Apply for this Job Click Here
Data Product Manager
Fully Remote (In The UK)
£90,000-£100,000
The Company
A market-leading, AI-driven search intelligence platform focused on helping enterprise brands and agencies reduce paid search costs, protect brand equity, and stay ahead of competitor movements is seeking a Data Product Manager! Their patented technology delivers transparency and actionable insights to marketing teams that operate in the largely blind world of paid search auctions; trusted by hundreds of global brands, they’ve built a business where data science meets marketing performance, delivering intelligent, automated insights that transform how customers approach search!
The Role
This is a strategic and highly technical Data Product Manager role, sitting within the Product team and reporting directly to the Product Lead. You’ll drive the evolution of the company’s data platform and machine learning ecosystem, which underpins its core search intelligence products. You’ll manage the roadmap for data integrity, quality, and scalability, working closely with Data Engineering and Data Science teams to ensure the underlying data models and pipelines deliver reliable, actionable insights for customers.
Key Focus Areas:
- Own and evolve the data platform roadmap, ensuring alignment with business goals
- Oversee the performance, quality, and cost-efficiency of large-scale data workflows
- Partner with engineers and data scientists to improve ML model performance and predictive accuracy
- Ensure high-quality data powering AI-driven search and GenAI initiatives
- Manage complex, distributed data systems (Spark, Cassandra, Redshift)
- Collaborate across Product, Engineering, and Commercial teams to turn technical data insights into business value
Your Skills & Experience
You’ll come from a technical background, with prior experience working as a Data Scientist or in Product Analytics, and having now transitioned into product management. You’re comfortable operating at scale in data-heavy or AI/ML-driven environments, and you know how to talk to engineers as peers; you’re hands-on, collaborative, and able to own initiatives from discovery through delivery. You care about data quality, cost, and performance; not just delivery.
You’ll Bring:
- Extensive experience in data-focused product management
- Strong foundation in data systems, pipelines, and architecture
- Proven experience owning and delivering a data product roadmap
- Proficiency in Python and SQL (comfortable reading/writing code even if not executing daily)
- Experience working closely with data engineering and data science teams
- Excellent communication skills, able to translate technical concepts for non-technical audiences
- Start-up/scale-up experience preferrable (not essential)
How to Apply
Please register your interest by sending your CV to Adam Osborne at Harnham via the Apply link on this page
To Apply for this Job Click Here
MLOPs Engineer
London
£480 - £640
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
MLOps Engineer
Outside IR35 – 500-600 Per Day
Ideally, 1 day per week/fortnight in the office, flexibility for remote work for the right candidate.
A market-leading global e-commerce client is urgently seeking a Senior MLOps Lead to establish and drive operational excellence within their largest, most established data function (60+ engineers). This is a mission-critical role focused on scaling their core on-site advertising platform from daily batch processing to real-time capability.
This role suits a hands-on MLOps expert who is capable of implementing new standards, automating deployment lifecycles, and mentoring a large engineering team on best practices.
What you’ll be doing:
MLOps Strategy & Implementation: Design and deploy end-to-end MLOps processes, focusing heavily on governance, reproducibility, and automation.
Real-Time Pipeline Build: Architect and implement solutions to transition high-volume model serving (10M+ customers, 1.2M+ product variants) to real-time performance.
MLflow & Databricks Mastery: Lead the optimal integration and use of MLflow for model registry, experiment tracking, and deployment within the Databricks platform.
DevOps for ML: Build and automate robust CI/CD pipelines using GIT to ensure stable, reliable, and frequent model releases.
Performance Engineering: Profile and optimise large-scale Spark/Python codebases for production efficiency, focusing on minimising latency and cost.
Knowledge Transfer: Act as the technical lead to embed MLOps standards into the core Data Engineering team.
Key Skills:
Must Have:
-
MLOps: Proven experience designing and implementing end-to-end MLOps processes in a production environment.
-
Cloud ML Stack: Expert proficiency with Databricks and MLflow.
-
Big Data/Coding: Expert Apache Spark and Python engineering experience on large datasets.
-
Core Engineering: Strong experience with GIT for version control and building CI/CD / release pipelines.
-
Data Fundamentals: Excellent SQL skills.
Nice-to-Have/Desirable Skills
-
DevOps/CICD (Pipeline experience)
-
GCP (Familiarity with Google Cloud Platform)
-
Data Science (Good understanding of math/model fundamentals for optimisation)
-
Familiarity with low-latency data stores (e.g., CosmosDB).
If you have the capability to bring MLOps maturity to a traditional Engineering team using the MLFlow/Databricks/Spark stack, please email: with your CV and contract details.
To Apply for this Job Click Here
Research Director – Quant
London
£70000 - £80000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
RESEARCH DIRECTOR (QUANTITATIVE)
UP TO £80,000
HYBRID – LONDON (4 DAYS PER WEEK)
Please note, you must be a UK resident and citizen to apply.
THE COMPANY
This fast-growing creative consumer consultancy partners with major brands to help them uncover possibilities and bring bold ideas to life. Blending quantitative and qualitative research with strategic and creative thinking, the business delivers high-impact insight that inspires smarter decisions and stronger brands. Having seen significant growth in its quantitative offer, the consultancy now works with leading names across FMCG, travel, media, and consumer goods, helping them challenge convention and make confident commercial moves. With a small, senior-led team and a culture that values curiosity, collaboration, and creativity, this is an opportunity to join a business that’s defining what modern research looks like.
THE ROLE
As a Senior Quantitative Insight Consultant, you’ll play a pivotal role in delivering strategic, data-driven insight to clients while shaping the continued growth of the consultancy’s quantitative capability.
In this hands-on and varied role, you will:
- Lead and deliver fast-turnaround quantitative projects from design to debrief.
- Analyse data using tools such as Q (or similar) to generate clear, commercial insights.
- Translate numbers into stories – engaging senior stakeholders with strategic recommendations.
- Design and write compelling proposals, contributing to new business growth.
- Work across brand tracking, segmentation, innovation testing, pricing, and comms evaluation.
- Collaborate with senior colleagues to evolve ways of working, mentor others, and improve processes.
Approximate time split:
- 60% project delivery and analysis
- 20% business development (proposals, pitches, client growth)
- 20% collaboration, mentoring and operational improvement
YOUR SKILLS AND EXPERIENCE
You’ll bring:
- Proven experience running end-to-end quantitative research projects.
- Strong client management and presentation skills, with confidence at senior levels.
- Excellent storytelling and proposal writing ability.
- Proficiency with Q or similar analysis tools (e.g., SPSS, R, Excel-based).
- Ability to balance tactical and strategic work in a fast-moving environment.
- Commercial awareness and a proactive, hands-on approach.
It’s a bonus if you have:
- Experience in qualitative research or facilitation.
- Interest in behavioural science or consumer psychology.
- Experience with advanced analytics (e.g. regression, conjoint, max-diff).
- Exposure to AI tools, simulators, or forecasting models.
- Strong creative instincts – in writing, design, or storytelling.
BENEFITS
- Opportunity to shape and grow the quantitative offer in a thriving consultancy.
- Work with blue-chip and high-profile clients across categories.
- End-to-end ownership of projects and client relationships.
- Collaborative, senior-led culture that values curiosity and creativity.
To Apply for this Job Click Here
Senior Software Engineer
Atlanta, GA
$160000 - $175000
+ Data Engineering
PermanentAtlanta, Georgia
To Apply for this Job Click Here
SENIOR SOFTWARE ENGINEER – CLOUD & DEVOPS
$160k-$175k BASE + 10-15% BONUS
REMOTE – HIRING ONLY IN GA, AL, NY, CO & FL
Are you a hands-on software engineer who thrives at the intersection of data, infrastructure, and analytics? This role offers the opportunity to shape internal technology products that power investment decisions for a leading U.S. private equity platform.
THE COMPANY
This private equity firm manages tens of billions in assets and invests in consumer and business-service brands across sectors like food, retail, health & wellness, and education. They take a data-driven approach to identifying and scaling high-growth opportunities – and the software engineering team is central to that mission.
THE ROLE
As a Senior Software Engineer, you’ll help architect and build internal tools and platforms that enable data-driven insights across portfolio companies. This is a highly visible role partnering with data scientists, strategy leads, and investment teams to develop scalable solutions supporting acquisitions, portfolio analytics, and due diligence.
You’ll own projects end-to-end – from coding and infrastructure management to deployment and optimization – while mentoring junior engineers and influencing technical direction.
Key Responsibilities:
- Design, develop, and deploy data-driven applications and internal web tools.
- Manage cloud infrastructure, deployment pipelines, and production environments.
- Collaborate with data science and strategy teams to deliver scalable, maintainable systems.
- Drive best practices across CI/CD, security, and observability.
- Mentor junior engineers and contribute to team growth and technical standards.
YOUR SKILLS AND EXPERIENCE
The ideal candidate will have:
- 5-8+ years of professional software engineering experience.
- Strong proficiency in Python (core language across all systems).
- Experience with GCP (preferred), AWS, or Azure.
- Hands-on experience with Kubernetes for deployment and orchestration.
- Working knowledge of SQL and database administration.
- Some exposure to JavaScript
- Background in data infrastructure, ETL, or analytics-heavy systems.
- Proven ownership of infrastructure – from local dev to production deployment.
THE TEAM & CULTURE
You’ll join a tight-knit group of ~16 professionals spanning Strategy, Consumer, Data Science, Product, and Software Engineering. The software team is lean, collaborative, and hands-on – with direct access to senior leadership and visibility into the firm’s investment activity.
THE BENEFITS
- $160K-$175K Base + 10% – 15% Bonus
- Hybrid schedule – Atlanta HQ preferred; open to select states (GA, AL, NY, CO, FL)
- Limited travel (4-6x/year) for team gatherings and investor meetings
- High autonomy, meaningful impact, and exposure to complex business models
To Apply for this Job Click Here
Principal Data Modeller
London
£90000 - £120000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
Principal Data Modeller
Location: Shoreditch (3 days per week onsite)
Salary: £90,000 – £120,000 + benefits
The Company
Join one of the UK’s leading management consultancies, recognised for delivering innovative data and architecture solutions across global financial institutions. With a data practice of over 300 specialists, the firm offers significant scope for leadership, growth, and commercial impact.
The Role
As a Principal Data Modeller, you will combine technical expertise with business development and leadership responsibility. You will shape data modelling strategy for enterprise clients, guide delivery teams, and play an active role in growing client relationships and driving new opportunities across the data architecture function.
Key Responsibilities
-
Lead the design and implementation of enterprise-wide data models and standards
-
Define data frameworks, governance, and metadata strategies for large-scale transformation projects
-
Partner with clients to identify opportunities for data modernisation and architecture improvement
-
Oversee multiple workstreams and mentor senior consultants and modellers
-
Support business development activity through client presentations, proposals, and thought leadership
Your Skills and Experience
-
7+ years of experience in data modelling and data architecture within financial services or consulting
-
Proven ability to engage in business development and revenue growth initiatives
-
Strong stakeholder management and leadership skills
-
Deep knowledge of data modelling tools (ERWin, Sparx, RSA) and modern data architectures
-
Experience designing frameworks that support analytics, AI, and data science use cases
To Apply for this Job Click Here
Senior Data Modeller
London
£70000 - £88000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
Senior Data Modeller
Location: Shoreditch (3 days per week onsite)
Salary: £70,000 – £88,000 + benefits
The Company
This consultancy’s Data Architecture team is one of the most established in the UK, supporting clients across banking, payments, and capital markets. The team combines deep industry expertise with modern cloud-based data design, helping enterprise clients structure, govern, and leverage data effectively.
The Role
As a Senior Data Modeller, you will act as a hands-on lead across client projects, setting data modelling standards and ensuring delivery across multiple stakeholders. You will design frameworks, define best practice for data structures, and drive consistency across systems while remaining highly involved in technical delivery.
Key Responsibilities
-
Lead on data modelling design and implementation across client programmes
-
Create relational and dimensional models for enterprise data warehouses and analytics platforms
-
Define metadata standards, data catalogues, and lineage documentation
-
Collaborate with architects, engineers, and business stakeholders to ensure data models meet business needs
-
Support data migration, governance, and transformation initiatives
Your Skills and Experience
-
5+ years of experience in data modelling or architecture, ideally within financial services or consulting
-
Strong knowledge of relational and dimensional design (3NF, star, snowflake)
-
Proficient in ERWin, Sparx, or similar tools
-
Experience working with semi-structured data (JSON, XML, Parquet)
-
Excellent communication and client-facing skills
To Apply for this Job Click Here
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