Technical Lead
Austin, Texas / $170000 - $190000 annum
INFO
$170000 - $190000
LOCATION
Austin, Texas
Permanent
Responsibilities:
- Own the end-to-end compute platform used by Simulation and ML teams.
- Collaborate closely with internal teams to understand requirements for large-scale autonomous vehicle data.
- Prototype, build, and refine scalable compute solutions, ensuring low latency and high performance.
- Evaluate, integrate, and enhance open-source and internal tools (e.g., Spark, Ray, Beam, Airflow, Argo).
- Lead, mentor, and coordinate engineering teams, providing guidance and documentation for platform adoption.
- Take ownership of platform strategy, balancing hands-on development with leadership responsibilities.
Qualifications:
- Strong proficiency in Python (required); C++ experience highly desirable.
- Hands-on experience with distributed computing frameworks and workflow orchestration (Spark, Airflow, Ray, Beam, Argo, Kubernetes).
- Proven leadership in the architecture and development of large-scale data processing infrastructure.
- Experience handling large-scale data pipelines and understanding ML pipeline requirements.
- Excellent communication and collaboration skills.
- Experience with sensor data from autonomous vehicles or robotics.
- Understanding of ML/AI and experience building ML pipelines.
- Experience optimizing performance and costs of distributed computing systems.
*On Site in Austin, Texas*
*Must have existing authorization to work in the U.S.*
CONTACT
SIMILAR
JOB RESULTS
Data Governance Contractor (Senior Functional Data Analyst)
$60 - $90
+ Advanced Analytics & Marketing Insights
ContractNew York
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Data Governance Contractor (Senior Functional Data Analyst)
Client Type: Consulting client of ours
Location: Remote
Hours: 32-40 hours per week
Duration: Contract
Compensation:
- W‑2: $80/hr
- C2C: $90/hr
About the Role
A consulting firm is seeking a Data Governance Contractor who combines functional data strategy expertise with hands‑on Business Intelligence (BI) capabilities. This individual will help shape and mature the client’s data governance frameworks while also delivering meaningful BI outputs such as dashboards, models, and KPI reporting.
This is a strategic‑plus‑tactical role: you will work across business units, data engineering, and analytics stakeholders to elevate data quality, improve data lineage visibility, and strengthen enterprise‑wide data management.
Key Responsibilities
Data Governance & Strategy
- Create, refine, and maintain enterprise data governance standards and best practices.
- Lead the implementation of data stewardship and data ownership models.
- Drive data lineage, metadata management, and data quality initiatives.
- Assess current data maturity and recommend strategic improvements.
Business Intelligence & Analytics Execution
- Develop dashboards, data models, and reporting frameworks (Power BI/Tableau/etc.).
- Translate business requirements into technical specifications.
- Perform data quality analysis and root‑cause investigations.
- Partner with data engineering to validate pipelines, models, and schemas.
Stakeholder Communication & Enablement
- Act as liaison between technical and non‑technical stakeholders.
- Conduct training sessions on governance processes and BI best practices.
- Create clear documentation, including data dictionaries, glossaries, and governance artifacts.
Required Qualifications
- 5-8+ years of experience in Data Governance, Data Analysis, BI, or related functions.
- Experience designing or contributing to data governance frameworks.
- Strong BI tool proficiency (Power BI, Tableau, Looker, etc.).
- Strong SQL and relational modeling experience.
- Experience with metadata management, lineage tools, and data quality remediation.
- Excellent communication and documentation skills.
Preferred Qualifications
- Experience with cloud data platforms (Snowflake, Azure, AWS, GCP).
- Familiarity with Collibra or Alation.
- Experience working in regulated or enterprise environments.
Ideal Candidate Profile
- Strategic thinker with hands‑on execution capability.
- Comfortable operating within evolving data maturity landscapes.
- Strong business acumen, analytical rigor, and problem‑solving skills.
- Proactive, collaborative, and highly self‑directed.
To Apply for this Job Click Here
ML Engineer
Manchester
£70000 - £80000
+ Data Science & AI
PermanentManchester, Greater Manchester
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ML ENGINEER
UP TO £80,000 + BENEFITS
HYBRID – CHESTER
If you’re an ML or AI Engineer with a strong data science foundation who enjoys turning models into reliable, production-grade systems, this could be a standout opportunity. You’ll be joining a growing organisation at a key moment in its AI journey, with real ownership and influence from day one.
THE COMPANY:
I’m working with a fast-growing business that’s investing heavily in data, AI, and modern cloud platforms to drive smarter commercial decisions and build customer-facing AI products.
With a strong product portfolio and a collaborative, fast-paced culture, the company offers a rare chance to shape core ML capability from the ground up, supported by experienced technical leadership and clear executive backing.
THE ROLE:
This is the first dedicated ML / AI Engineering hire, sitting at the intersection of Data Science, Engineering, and Product. The role exists to ensure machine learning models are deployable, monitored, retrained, and production-ready as AI initiatives scale across the business.
Key responsibilities include:
- Operationalising ML models, including deployment, monitoring, retraining, and drift detection
- Acting as the bridge between Data Science and Engineering to productionise models
- Supporting a broad range of AI and ML initiatives, including:
- Revenue management and pricing optimisation
- Customer-facing AI products using LLMs and AI agents
- Churn prediction and revenue forecasting
- Defining and implementing ML best practices, CI/CD pipelines, and coding standards
- Improving reliability, scalability, and observability of production ML systems
YOUR SKILLS AND EXPERIENCE:
A successful ML / AI Engineer will bring:
- Hands-on experience deploying and maintaining ML models in production
- Experience with CI/CD in a production environment
- Cloud experience (Azure preferred; Microsoft Fabric exposure is a plus)
- Ability to communicate effectively with Data Scientists and Product teams
- Experience with customer, marketing, or personalisation data is beneficial
THE BENEFITS:
You will receive a salary of up to £80,000 depending on experience, along with a comprehensive benefits package.
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
Analytics Manager
London
£60000 - £65000
+ Advanced Analytics & Marketing Insights
PermanentLondon
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Analytics Manager – Retail (Permanent)
£65k + car allowance + bonus
Hybrid working: 3 days onsite
I’m recruiting on behalf of a leading international organisation for a permanent Analytics Manager to play a key role within a fast-paced, data-driven environment. This is a senior opportunity where analytics directly informs decision-making, performance improvement, and operational strategy, offering strong visibility, influence, and long-term career progression.
The Role
- Lead, mentor, and develop a team of data analysts and BI specialists
- Own delivery of high-quality reporting, insight, and analytics
- Partner with senior stakeholders to translate business needs into scalable data solutions
- Ensure strong data governance, coding standards, and data quality
- Balance strategic leadership with hands-on technical involvement
About You
- Proven experience leading analytics or BI teams
- Strong SQL skills and experience with Power BI or Tableau
- Confident communicator able to translate complex insights for non-technical audiences
- Experience in project-based or Agile environments
- Supply chain or logistics exposure (or strong interest)
- Python, data warehousing, and ETL experience beneficial
This is a high-impact role offering strong stakeholder exposure, long-term career development, and a competitive package within a data-driven organisation.
If you are interested in the role, please apply. To follow up please message me on LinkedIn or email.
To Apply for this Job Click Here
Backend Software Engineer (AI)
London
£450 - £550
+ Data Science & AI
ContractLondon
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Backend Software Engineer
£450 – £550 per day
2 days onsite
We’re working with a global healthcare and AI research organisation that’s pioneering the use of advanced Machine Learning to accelerate the discovery and delivery of life-changing treatments. Their vision is to enable faster, personalised therapies that improve patient outcomes worldwide – and they’re seeking a Backend Software Engineer to help bring that mission to life.
The Role
You’ll be joining a multidisciplinary AI/ML team responsible for developing the infrastructure and software that powers cutting-edge research and intelligent applications. The role focuses on backend development in Python, integrating AI components with data, compute, and frontend systems to create scalable, high-performance solutions.
Day-to-day responsibilities include:
-
Designing and implementing backend services for Python-based web applications (e.g., FastAPI).
-
Integrating AI and ML components into production systems and APIs.
-
Writing high-quality, well-tested, and well-documented code following best practices.
-
Developing and monitoring metrics to improve system reliability and performance.
-
Collaborating closely with frontend engineers, data engineers, and ML specialists to build end-to-end pipelines.
-
Participating in agile ceremonies and code reviews to uphold quality and delivery standards.
Tech Stack & Skills
Core skills:
-
Strong Python backend development experience (FastAPI or similar frameworks)
-
Cloud-native deployment experience (preferably Google Cloud and Cloud Run)
-
Unit testing experience (pytest or similar frameworks)
-
Familiarity with agile development and CI/CD processes
-
Strong understanding of Git/GitHub workflows and DevOps tooling
Nice to have:
-
Experience with Docker or multi-container application architecture
-
Familiarity with AI/ML technologies such as LLMs, NLP, LangGraph, PydanticAI, or AutoGen
-
Experience with biological or scientific datasets (genomics, proteomics, etc.)
-
Exposure to frontend development (React preferred)
-
Experience benchmarking and improving AI/ML models or agent-based systems
What You’ll Bring
-
A track record of delivering clean, production-grade backend systems
-
A collaborative and proactive approach to working in cross-functional teams
-
Passion for innovation and applying technology to advance scientific discovery
-
A growth mindset with a focus on continuous learning and improvement
Please send your CV
To Apply for this Job Click Here
Python Engineer
London
£500 - £600
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
Python Engineer
£500 – £600 per day
2 days onsite
We’re working with a global healthcare and AI research organisation that’s pioneering the use of advanced Machine Learning to accelerate the discovery and delivery of life-changing treatments. Their vision is to enable faster, personalised therapies that improve patient outcomes worldwide – and they’re seeking a Backend Software Engineer to help bring that mission to life.
The Role
You’ll be joining a multidisciplinary AI/ML team responsible for developing the infrastructure and software that powers cutting-edge research and intelligent applications. The role focuses on backend development in Python, integrating AI components with data, compute, and frontend systems to create scalable, high-performance solutions.
Day-to-day responsibilities include:
-
Designing and implementing backend services for Python-based web applications (e.g., FastAPI).
-
Integrating AI and ML components into production systems and APIs.
-
Writing high-quality, well-tested, and well-documented code following best practices.
-
Developing and monitoring metrics to improve system reliability and performance.
-
Collaborating closely with frontend engineers, data engineers, and ML specialists to build end-to-end pipelines.
-
Participating in agile ceremonies and code reviews to uphold quality and delivery standards.
Tech Stack & Skills
Core skills:
-
Strong Python backend development experience (FastAPI or similar frameworks)
-
Cloud-native deployment experience (preferably Google Cloud and Cloud Run)
-
Unit testing experience (pytest or similar frameworks)
-
Familiarity with agile development and CI/CD processes
-
Strong understanding of Git/GitHub workflows and DevOps tooling
Nice to have:
-
Experience with Docker or multi-container application architecture
-
Familiarity with AI/ML technologies such as LLMs, NLP, LangGraph, PydanticAI, or AutoGen
-
Experience with biological or scientific datasets (genomics, proteomics, etc.)
-
Exposure to frontend development (React preferred)
-
Experience benchmarking and improving AI/ML models or agent-based systems
What You’ll Bring
-
A track record of delivering clean, production-grade backend systems
-
A collaborative and proactive approach to working in cross-functional teams
-
Passion for innovation and applying technology to advance scientific discovery
-
A growth mindset with a focus on continuous learning and improvement
Please send your CV
To Apply for this Job Click Here
Data Engineering Lead
London
£600 - £700
+ Data Engineering
ContractLondon
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Contract Data Engineering Lead
£600/day – Inside IR35
3 Months
Hybrid / WFH (UK-based)
A large UK organisation is in the middle of a major data platform transformation, moving from a legacy, third-party-managed environment to a modern, cloud-native setup. They are now looking for a Data Engineering Lead to support this transition and help stabilise and shape the data engineering function during a critical phase of change.
This is a hands-on leadership role where you’ll take ownership of day-to-day operations while also helping define how data engineering is delivered post-migration.
THE ROLE
As Data Engineering Lead, you will:
-
Lead a small team of data engineers across contractors and permanent staff.
-
Oversee day-to-day operations, ensuring pipelines are stable and production-ready.
-
Support the transition from an outsourced model to an internal engineering function.
-
Improve governance, standards, and delivery processes across the data platform.
-
Work closely with analytics, architecture, and delivery stakeholders.
-
Balance operational leadership with longer-term planning and strategy.
YOUR SKILLS & EXPERIENCE
Essential:
-
Strong experience with Snowflake, AWS, Airflow, and dbt.
-
Proven background leading data engineers in production environments.
-
Experience supporting data platform migrations or major transformations.
-
Confident making technical trade-offs and owning design decisions.
-
Comfortable operating in fast-moving, change-heavy environments.
Nice to have:
-
Experience introducing DevOps practices into data teams.
-
Background in large, complex organisations.
WHAT SUCCESS LOOKS LIKE
-
A stable, well-structured data engineering team.
-
Production-grade, governed pipelines in place.
-
Clear ownership and operating model for post-migration delivery.
-
Improved confidence from stakeholders in the data platform.
CONTRACT DETAILS
-
Rate: £600 per day
-
IR35: Inside
-
Length: 3 months initially, strong chance of extension
-
Location: UK-based, hybrid working
-
Start: ASAP
To Apply for this Job Click Here
Engineering Manager
London
£600 - £700
+ Data Engineering
ContractLondon
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Engineering Manager
Location: 3 days onsite (London)
Contract: Initial 3 months
The Organisation
Our client is a global aviation and logistics organisation, operating at significant scale with hundreds of aircraft and thousands of flights worldwide. They support large-scale retail and commercial cargo movements across international supply chains and are undergoing a major data platform transformation to support future growth.
The Role
This is a senior, strategic Lead Data Engineering Manager role focused on stabilising BAU operations and overseeing a large data warehouse migration.
The organisation is currently migrating from a legacy data platform to Snowflake, with delivery supported by a major systems integrator. This role sits on the client side and acts as the senior data engineering authority, ensuring designs are sound, pipelines are built correctly, and the migration progresses smoothly without disrupting day-to-day operations.
This is predominantly a leadership and strategy role, not a pure hands-on engineering position. You will provide technical oversight, architectural guidance, and strong stakeholder management, with light hands-on involvement where required.
Key Responsibilities
-
Lead and oversee the migration from legacy data platforms to Snowflake
-
Act as the senior data engineering point of contact across the programme
-
Manage and guide a team of external contractors alongside a permanent engineer
-
Ensure BAU data processes remain stable throughout the transition
-
Review and validate data architecture, pipeline designs, and migration approaches
-
Ensure migration pipelines are robust, scalable, and fit for long-term use
-
Work closely with the Head of Data to define engineering strategy and delivery priorities
-
Drive a solution-focused mindset from delivery partners
-
Ensure new data products and use cases are developed in a scalable and sustainable way
-
Communicate complex technical decisions clearly to non-technical stakeholders
Technical Environment
Strong experience required:
-
Snowflake
-
Airflow
-
dbt
Nice to have:
-
AWS (lower priority)
Ideal Background
-
Senior or Lead Data Engineer who has progressed into a management / technical leadership role
-
Strong data architecture and solution design experience
-
Experience overseeing migrations rather than purely building pipelines
-
Comfortable working with system integrators and third-party delivery teams
-
Proven ability to work with senior stakeholders and non-technical audiences
Role Breakdown
-
Around 70% strategic, oversight, and delivery leadership
-
Around 25-30% collaboration on engineering strategy and platform decisions
-
Light hands-on involvement where required
Please reach out if you’re interested
To Apply for this Job Click Here
Technical Data Architect
London
£90000 - £100000
+ Data Engineering
PermanentLondon
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Technical Architect (Cloud, Data & Platform)
Salary: £90,000 – £100,000
Hybrid: 3 days in Central London
I’m partnering with a client who are building a brand-new platform at the intersection of creativity, data and AI – enabling creators to licence digital content on transparent terms, while giving AI developers ethical access to high-quality data at scale. This is an early-stage hire where you’ll play a key role shaping a pilot and setting the foundations for a platform built to scale.
The role
As the Technical Architect, you’ll own the high-level architecture across cloud infrastructure, data platforms, APIs, integrations and security, working closely with an external platform provider and internal product leadership to deliver the MVP/MLP and the longer-term technical roadmap.
Key responsibilities
- Define and govern platform architecture (cloud, data, APIs, integrations, security)
- Set standards for schemas, metadata and interoperability
- Support hands-on delivery and solve complex technical challenges
- Produce clear documentation, technical direction and best practices
What my client is looking for
- 10+ years in engineering / architecture roles
- Strong experience with cloud-native distributed systems
- Hands-on AWS/Azure/GCP knowledge (IAM, networking, storage, compute)
- Strong data architecture experience (schemas, metadata, governance)
Nice to have
- Data-intensive platform/marketplace experience
- Integration-heavy work + exposure to IaC/DevOps
Location & eligibility
UK-based role. Right to work in the UK required (no sponsorship).
To Apply for this Job Click Here
Senior Research Exec – Quant
London
£35000 - £45000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
Senior Research Executive | Up to £45,000 | London (Hybrid)
Our client, a fast-growing AI-driven research technology scale-up, is looking for a Senior Research Executive to join their Consulting team. This is a hands-on, end-to-end research role for someone with a strong quantitative or mixed-methods foundation who wants real ownership and exposure to cutting-edge AI research tools.
About the Role:
-
Own the end-to-end delivery of bespoke research projects, working closely with clients and the Analytics team.
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Design and run quantitative research, including questionnaire design, sampling, weighting, and analysis.
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Contribute to qualitative research, including AI-moderated outputs.
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Produce high-quality client outputs: data tables, decks, reports, and visualisations.
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Apply advanced analytics techniques (segmentation, regression, PCA) alongside the data science team.
-
Actively contribute to evolving the company’s AI-driven research workflows and tools.
What We’re Looking For:
-
2+ years’ experience in quantitative research, ideally in social, political, or opinion research.
-
Confidence managing projects from start to finish with client-facing experience.
-
Strong organisational, analytical, and data visualisation skills.
-
Interest in AI and advanced analytics.
-
Curiosity, ownership, and willingness to learn new tools.
Nice to Have:
-
Experience with qualitative research methods.
Why Apply?
-
Work in a high-growth, tech-enabled research business with low hierarchy and high autonomy.
-
Fast progression opportunities into Research Manager for high performers.
-
Be part of innovative, bespoke projects that move beyond traditional tracker-heavy research.
Location: London – 4 days in the office, Fridays remote
Salary: Up to £45,000
Find out more and apply via the link below.
To Apply for this Job Click Here
Analytics Manager – Supply Chain
London
£60000 - £65000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
Analytics Manager
Supply Chain and Logistics
London – 3 days in the office
Salary up to £65,000 + car allowance
We are partnering with a retail business to appoint an Analytics Manager into their Supply Chain and Logistics function.
This is a leadership role with ownership of analytics across a complex operational environment. You will manage a small team, act as the senior analytics contact for stakeholders, and ensure reporting, insight, and data standards support both day to day operations and longer term strategy.
Responsibilities
- Lead and develop a team of 2 to 3 analysts and BI specialists
- Own delivery of dashboards and insights across supply chain and logistics
- Act as the main analytics partner for senior stakeholders
- Mentor and coach analysts, driving performance and best practice
- Manage incoming workload and prioritise business requests
- Ensure data integrity, quality, and governance across reporting
- Set and maintain high coding and analytical standards
- Support strategic initiatives and operational decision making
- Use historical data to support forecasting and planning
- Contribute to more advanced analytics initiatives where relevant
Requirements
- Experience leading analytics or BI teams
- Strong SQL and Python
- Power BI for reporting and dashboards
- Confident stakeholder management across multiple levels
- Experience working in large scale, data rich environments
- Supply chain or logistics exposure beneficial but not essential
- Snowflake and interest in ML tools nice to have
If you are an Analytics Manager looking for a high impact leadership role within a well known, fast paced organisation, please get in touch to discuss further
To Apply for this Job Click Here
Marketing Lead – B2B
London
£60000 - £80000
+ Advanced Analytics & Marketing Insights
PermanentLondon
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Marketing Lead | £60-80k | London (Hybrid)
Our client, a fast-growing AI-driven research technology scale-up, is looking for a Marketing Lead to own their brand, content, and lead generation. This is a standalone role, ideal for a hands-on marketer used to running end-to-end campaigns in a fast-paced environment.
About the Role:
-
Own the company’s brand, messaging, website, social media, events, and product marketing.
-
Generate ~30 marketing-qualified leads per quarter through content, campaigns, and events.
-
Launch and promote a new AI-driven product.
-
Manage a Growth Associate and collaborate closely with the Growth Lead and BD Director.
What We’re Looking For:
-
3-5 years B2B marketing experience, ideally in research, insights, or consulting.
-
Experience managing websites, social media, content, and external agencies.
-
Event planning and execution experience preferred.
-
Strong analytical, creative, and project management skills.
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Comfortable working independently in a small team and fast-paced environment.
Why Apply?
This is a unique opportunity to lead marketing at a Series A-B scale-up, shaping the brand and driving growth in an innovative AI research business.
Location: London (4 days in office, Fridays remote)
Salary: £60-80k
Find out more and apply via the link below.
To Apply for this Job Click Here
Lead Data Engineer (AWS)
Dallas
$165000 - $175000
+ Data Engineering
PermanentTexas
To Apply for this Job Click Here
Lead Data Engineer- AWS
Our client is looking for a Lead Data Engineer to lead the design, development, and optimization of a cloud-native data platform on AWS, driving migration from onpremises systems, building lakehouse and warehouse architectures, and enabling analytics and AI workloads. Mentor a team of engineers while remaining hands-on with data pipelines, orchestration, and cloud infrastructure.
*Applicants must be U.S. citizens; we are unable to provide sponsorship for this role.
This opportunity is Hybrid- based in Dallas OR Houston, TX
Responsibilities
- Design, build, and optimize ETL/ELT pipelines using Python/PySpark, SQL, and AWS services (Glue, Redshift, Athena, S3, EMR, Lambda).
- Lead data lakehouse/warehouse architecture using Iceberg, Parquet, and Lake Formation.
- Implement workflow orchestration (Airflow, Step Functions) and CI/CD for data pipelines.
- Drive data quality, governance, and security
- Optimize compute, storage, and network usage
- Mentor and guide a team of data engineers; enforce coding standards and best practices.
- Collaborate with architects and stakeholders to define data models, integration patterns, and platform roadmaps.
- Enable analytics and ML/AI pipelines by delivering scalable, reliable data products.
- Optimize compute, storage, and network usage
Qualifications
- 5-7 years of hands-on data engineering; 3+ years in a technical lead role.
- Strong AWS expertise: S3, Glue, Redshift, Athena, EMR/Spark, Lambda, IAM, Lake Formation.
- Proficient in Python/PySpark or Scala and advanced SQL.
- Experience with large-scale ETL/ELT pipelines, data lakes, lakehouses, and warehouses.
- Expertise in data lakehouse architectures (Iceberg, Parquet) and orchestration (Airflow, Step Functions).
- Knowledge of CI/CD, infrastructure-as-code (Terraform/CloudFormation), automated testing, and DevOps practices.
- Strong understanding of data modeling, governance, security, and metadata management.
- Experience designing pipelines to support ML/AI workloads.
- Proven leadership and mentoring skills; able to drive engineering excellence.
- AWS certifications (Data Analytics – Specialty or Solutions Architect) preferred.
U.S. work authorization required | Hybrid role (Dallas or Houston, TX)
To Apply for this Job Click Here
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