Title: Data Scientist
Type: Permanent
Salary: Up to £50k
Location: London (On-site)
We are searching for a skilled Data Scientist with at least 2 years of experience to join our dynamic team in central London. You will play a crucial role in applying data science techniques to analyse and model massive datasets, leveraging AI and machine learning to generate data-driven insights that fuel our decision-making processes.
Responsibilities
- Develop and implement machine learning models for pricing and predictive analytics, integrating them seamlessly into our data pipelines.
- Analyse large datasets to extract valuable insights about the market.
- Collaborate closely with data engineers to ensure the quality, accessibility, and continuous improvement of our data pipeline for optimal analysis.
- Effectively communicate findings to stakeholders, translating complex data into actionable business intelligence.
Qualifications
- Proficiency in Python and SQL.
- Experience with machine learning frameworks and Python libraries.
- Strong foundation in statistical analysis and data modelling.
- Minimum 2 years of relevant commercial experience.
- Experience with AWS (or other cloud platforms) services (S3, RDS, Lambda, EC2).
- Familiarity with data visualisation tools (e.g., Matplotlib, Seaborn, Plotly).
- Ability to work in a central London office.
Benefits
- Competitive salary and benefits package.
- Accelerate your career in a well-funded startup poised for significant growth.
- Join a collaborative, intelligent, and energetic team with a flat hierarchy.
- Thrive in a fast-paced environment with ample opportunities for rapid professional development.
- Contribute to a diverse and inclusive workplace where every voice matters.
If this sounds interesting, apply now with your up-to-date CV or reach out to Bryn Edwards at trg.
I’m excited to share an opportunity with a market-leading HealthTech company.
This innovative company delivers cutting-edge health programs backed by advanced technology and clinical expertise. Their products have hugely positive impact on millions of employees across the UK and offers the chance for a Data Analyst to have real impact in a rapidly growing organisation, with huge career growth potential!
Must haves..
- Data Analysis tools: Power BI, SQL
- Data Sources: Azure SQL
Policy: Fully remote with very occasional trips to London
Interview Process: A simple two stage process!
Salary: up to £50,000
If you are interested, I would love to hear from you. Please reach out to me at mmatysik@trg-uk.com.
I’m on the lookout for an experienced Technical Lead to join an InsurTech scale-up, where you’ll be leading a team of 7 Data Scientists and Software Engineers as the team develops and productionises greenfield NLP products.
Experience required:
- NLP
- AWS
- End-to-end ML experience (ideally at Lead level)
- Background in Software Engineering
- Lead experience
Other details:
- Up to £120,000 per year
- 4 stage interview process
- Hybrid – once per week in Central London office
Interested, or know someone who would be? Click apply or get in touch directly on mgojzewski@trg-uk.com!
A London-based proptech start-up, who have recently closed a successful round of funding (£10M) from some of Europe’s best VCs, are looking to bring on another data engineer into their team.
They have built a unique platform that allows investors to identify the best investment opportunities within the property industry. It’s an exciting opportunity to get hands-on building and maintaining their pipelines within a flat structure.
You can expect to:
- Be a high-level individual contributor
- Join a venture-backed company with a strong funding runway
- Work in an autonomous, fast-paced culture, with opportunities for fast career progression
Tech: Python, SQL, AWS
Peaked your interest? Apply now, or email me at athomas@trg-uk.com, and let’s arrange a call!
Location: Germany (fully remote)
Tech: Python/Java/Golang/Scala, AWS, SQL, BI
TC: Up to €100,000 + shares
A Berlin-based fintech start-up who have recently closed another round of successful funding are looking to bring on a senior/staff data engineer to spearhead their data function.
They have built a unique regulated platform designed for institutional investors, and you’ll be coming in to build their data architecture from the ground up, whilst working closely with the CTO.
You can expect to:
- Be a high-level individual contributor (no direct reports)
- Set the technical and cultural direction of the data function
- Work in an autonomous, fast-paced culture
This is a very exciting time to join the company as you’ll get to be one of their first data engineer hires.
Peaked your interest? Apply now, or email me at athomas@trg-uk.com, and let’s arrange a call!
We’re working with a European Web3/Crypto scaleup, who is bridging the gap between legacy and new technologies for institutional investors. They are in need of their first Data Engineer for the company as they continue their growth throughout 2024.
Responsibilities:
- Lead the newly created Data function within the Crypto/Fintech regulated environment
- Establish best data practices for the tech team
- Work closely with the CTO to establish long term strategy plans
Qualifications:
- 5+ years Data Engineering experience
- Technical Degree (Computer Science, Data Science etc)
- Technical/Team leadership
To Apply:
If you are interested please apply directly, or contact abentley@trg-uk.com for more information!
Role: Senior Data Engineer
Stack: Snowflake, AWS, Airflow, DBT and Tableau
Excited to combat climate change and make a real impact? We’ve teamed up with a startup dedicated to creating a net-zero product!
Over the past three years, they’ve built an outstanding in-house engineering team passionate about this mission. The product’s goal? To guide a multi-billion enterprise towards achieving net-zero emissions by 2040, and also receiving the backing of that very enterprise.
Location: London, Bristol or Norwich
Working policy: Hybrid 2-3 days
Interview Process: Two stages
Salary: Base salary can go to £85k (bonus + up to 22% pension)
Key Skills Required:
- Experience in Snowflake (essential), AWS, Airflow, DBT and Tableau
- Experience in Agile environment
- Experience in start-up or scale-up environment
No recent CV handy? No sweat! Just shoot me an email at mmatysik@trg-uk.com, and we’ll chat it out.
Title: Tech Lead – Machine Learning
Type: Permanent
Salary: Up to £120,000
Location: London (Hybrid)
We’re working with a rapidly growing tech company using cutting-edge NLP and AI. Join us and be part of an innovative team building game-changing products!
Responsibilities
- Lead the design, development, and deployment of text mining and NLP models and systems.
- Collaborate with a team of software engineers, machine learning engineers and subject matter experts.
- Apply agile methodologies to manage the ML lifecycle, ensuring timely delivery of high-quality models and systems.
- Provide technical leadership and mentorship to a team specialising in text mining.
- Continuously improve and maintain existing ML infrastructure and pipelines for text analysis.
Responsibilities
- Proven experience leading technical teams and delivering ML products in Agile environments.
- Expertise in NLP, ML, and statistical modelling, including text classification, entity recognition, and sentiment analysis.
- Strong software engineering foundation with proficiency in Python or Java and CI/CD practices.
- Experience with cloud deployment and MLOps, including building scalable data processing pipelines.
If this sounds like you and you’d like to find out more, apply below with your up-to-date CV, or reach out to Bryn Edwards at trg.
Title: Senior ML Engineer (NLP)
Type: Contract
Rate: £500-600 per day (outside IR35)
Length: 6 months
Location: London (Hybrid)
We’re working with a rapidly growing tech company using cutting-edge NLP and AI. Join us and be part of an innovative team building game-changing products!
You will:
- Productionise NLP Pipelines: Deploy & manage NLP models (fraud detection, risk assessment) with a focus on NER. Leverage CI/CD & containers for seamless integration & scalability.
- Automate ML Workflows: Build robust MLOps pipelines to automate data ingestion, pre-processing, model training & serving for efficient NLP workflows.
- Champion NLP Expertise: Collaborate with data science teams, translate model requirements into operational considerations, & champion continuous improvement of NLP models.
We’re Looking For:
- Proven experience building and deploying NLP models, strong grasp of statistics, ML techniques, and proficiency in Python.
- MLOps & Cloud Infrastructure: A strong understanding of CI/CD pipelines, containerisation technologies (Docker, Kubernetes), and cloud platforms (AWS, Azure, GCP).
- Degree in Computer Science, Machine Learning, or related field (preferred), proficiency in Python and TDD practices, and a proactive learning mindset.
If this sounds like you and you’d like to find out more, apply below with your up-to-date CV, or reach out to Bryn Edwards at trg.
Title: Machine Learning Engineer
Type: Contract
Rate: £500-600 per day (outside IR35)
Length: 6 months
Location: London (Hybrid)
We’re working with a rapidly growing tech company using cutting-edge NLP and AI. Join us and be part of an innovative team building game-changing products!
You will:
- Productionise ML Pipelines: Deploy & manage ML models (fraud detection, risk assessment) with a focus on NER. Leverage CI/CD & containers for seamless integration & scalability.
- Automate ML Workflows: Build robust MLOps pipelines to automate data ingestion, pre-processing, model training & serving for efficient NLP workflows.
- Champion NLP Expertise: Collaborate with data science teams, translate model requirements into operational considerations, & champion continuous improvement of NLP models.
We’re Looking For:
- Proven experience building and deploying NLP models, strong grasp of statistics, ML techniques, and proficiency in Python.
- MLOps & Cloud Infrastructure: A strong understanding of CI/CD pipelines, containerisation technologies (Docker, Kubernetes), and cloud platforms (AWS, Azure, GCP).
- Degree in Computer Science, Machine Learning, or related field (preferred), proficiency in Python and TDD practices, and a proactive learning mindset.
If this sounds like you and you’d like to find out more, apply below with your up-to-date CV, or reach out to Bryn Edwards at trg.
