Principal Data Scientist & Machine Learning Researcher

RTX; Gloucester; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A major aerospace and defense technology firm is seeking a Principal Data Scientist & Machine Learning Researcher to lead AI/ML projects with high autonomy. You will design solutions, support strategic objectives, and manage junior members. The ideal candidate must have a BSc in a relevant field, extensive experience in delivering ML solutions, and excellent skills in Python and associated ML packages. This is a full-time role based in Gloucester, offering a hybrid work model with competitive benefits and opportunities for professional growth.

Benefits

Competitive salaries

25 days holiday plus opportunity to buy/sell days

Contributory Pension Scheme

Company bonus scheme

Private Medical Insurance

Qualifications

• Multiple years of experience delivering ML solutions to customers.
• Excellent coding practices using Python and associated ML packages.
• Proven experience in developing ML pipelines with MLOps tools.

Responsibilities

• Support the Head of Data Science & ML with strategy development.
• Develop complex data science solutions with autonomy.
• Provide technical leadership across multiple projects.

Skills

Machine Learning

Python

Data Science

AI

Natural Language Processing

Data Analysis Skills

Research Experience

Education

BSc in Machine Learning, Data Science, or related field

Tools

Python ML packages (HuggingFace, TensorFlow, PyTorch)

Job description

Overview

Date Posted: United Kingdom

Location: Gloucester 18b Ley Court Barnwood Industrial Estate Barnwood Gloucester Gloucestershire GL4 3RT

Position Role Type: Unspecified

Role: Principal Data Scientist & Machine Learning Researcher

Location: Gloucester London or Manchester

Hybrid role: Must be prepared to work from a Raytheon or customer site depending on demand. Average of 3 days a week on-site.

Security: SC Required. Must already hold or be able to gain an eDV clearance.

Duration: Permanent

Hours: Full-time 37 hrs

Raytheon UK: At Raytheon UK we take immense pride in being a leader in defence and aerospace technology. As an employer we are dedicated to fuelling innovation nurturing talent and fostering a culture of excellence.

About the role

This role is within the Strategic Research Group (SRG). The SRG are a team of Data Science, Machine Learning and AI specialists who develop novel AI solutions. This role involves high autonomy and responsibility for the design, planning and technical leadership of multiple AI/ML projects. You will help lead and set technical and strategic direction for the group, support with customer and stakeholder engagement, and deliver technical solutions on internal and external projects.

Responsibilities

• Support the Head of Data Science & Machine Learning using your experience to contribute to the group strategy and stakeholder engagement.
• Bring ideas for novel research that will drive competitive advantage across our customer community.
• Work with autonomy to develop complex novel data science solutions.
• Support in triaging and responding to opportunities aligning to the group and wider business strategies.
• Design and deliver data-centric solutions while working collaboratively across disciplines.
• Technical delivery of research and applied AI / ML tasks on both customer and internal research projects.
• Provide technical leadership across multiple projects.
• Manage more junior team members across the SRG.
• Deliver AI / ML / Data Science solutions to a broad range of problems in defence.
• Work with customers and internal stakeholders to determine appropriate technical approaches and do the technical development required for delivery.
• Excellent communication skills, prepared to present and undertake practical demonstrations of work internally in the team to senior stakeholders and at conferences with adaptability to audiences of different levels of technical expertise.

Requirements

• BSc in Machine Learning, Data Science, Computer Science, Mathematics or related field.
• Multiple years experience of delivering novel ML solutions to customers and internal stakeholders.
• Excellent coding practice using Python and associated ML packages (HuggingFace, TensorFlow, PyTorch) following best practices.
• Experience developing robust ML pipelines with MLOps tools for model training, monitoring and deployment.
• Experience of appropriate version control and environment management (such as venvs or Docker).
• Experience of writing technical project proposals.
• Experience of managing teams (technical leadership and/or line management).
• Experience of leading teams following agile principles.
• Expert knowledge of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision sufficient to propose research beyond existing literature.
• Experience of training and developing AI models including Large Language Models.
• Ability to produce high-quality scientific writing for internal & external stakeholders as well as academic publications.
• Ability to work with high levels of autonomy with awareness of appropriate business policies and strategy to dictate actions.

Desirable

• PhD or Master’s degree highlighting experience of academic research.
• Experience deploying AI models in a scalable way for external users.
• Experience developing supporting systems for AI deployments (e.g. backend databases, front end UIs).
• Working knowledge of Linux systems using basic command line functionality (e.g. AWS CLI, Docker CLI, Linux commands).
• Experience working in Cloud, especially AWS but also equivalents such as GCP or Azure.
• Research publications in peer reviewed journals.
• Experience of delivering AI / ML projects in defence or government.
• Existing network of contacts across defence and government.

Benefits

• Competitive salaries.
• 25 days holiday, statutory public holidays plus opportunity to buy and sell up to 5 days (37hr).
• Contributory Pension Scheme (up to 10.5% company contribution).
• Company bonus scheme (discretionary).
• 6 times salary Life Assurance with pension.
• Flexible Benefits scheme with extensive salary sacrifice schemes including Health Cashplan, Dental and Cycle to Work amongst others.
• Enhanced sick pay.
• Enhanced family friendly policies including enhanced maternity, paternity & shared parental leave.
• Car / Car allowance (dependant on grade / role).
• Private Medical Insurance (dependant on grade).

Work Culture

• 37hr working week; hours may vary depending on role, job requirement or site-specific arrangements.
• Early 1.30pm finish Friday; start your weekend early.
• Remote, hybrid and site-based working opportunities dependant on your needs and role requirements.
• A grownup, flexible working culture that is output not time spent at desk. Formal flexible working arrangements can be requested and assessed subject to the role.
• Up to 5 paid days volunteering each year.

RTX

Raytheon UK is a landed company and part of the wider RTX organisation. Headquartered in Arlington Virginia, USA but with over 180000 employees globally across every continent RTX provides advanced systems and services for commercial, military and government customers worldwide and comprises three industry-leading businesses: Collins Aerospace Systems, Pratt & Whitney and Raytheon. Supporting over 35000 jobs across 13 UK sites, RTX is helping to drive prosperity. Each year our work contributes over 2.7bn to the UK economy and offers opportunities to 4000 suppliers across England, Scotland, Wales and Northern Ireland.

Equal Employment Opportunity

RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, color, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status, or any other characteristic protected by law.

Privacy

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Required Experience

Staff IC

Key Skills

Machine Learning, Python, Data Science, AI, R, Research Experience, Sensors, Drug Discovery, Research & Development, Natural Language Processing, Data Analysis Skills, Toxicology Experience

Employment Type : Full-Time

Experience : years

Vacancy : 1