Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

DTO Intelligent Automation, Sr Staff Engineer Automation

BD
Leeds
1 year ago
Applications closed

Description

We arethe makers of possible 

BD is one of the largest global medical technology companies in the world. Advancing the world of health™ is our Purpose, and it’s no small feat. It takes the imagination and passion of all of us—from design and engineering to the manufacturing and marketing of our billions of MedTech products per year—to look at the impossible and find transformative solutions that turn dreams into possibilities. 

We believe that the human element, across our global teams, is what allows us to continually evolve. Join us and discover an environment in which you’ll be supported to learn, grow and become your best self. Become amaker of possiblewith us. 

Essential Job Functions:

In collaboration with DTO Intelligent Automation leadership and Key staff members, develop site specific Intelligent Automation roadmaps inclusive of digital solutions, machine learning and ability to leverage commonality of technical solutions across other sites.

In collaboration with the DTO Intelligent Automation technical systems engineers, design and implement process optimization strategies to enhance efficiency, reduce cycle time and improve product quality.

Working closely with manufacturing site teams, conduct detailed analysis and evaluation of existing manufacturing processes, identifying areas for improvement and recommending appropriate technological solutions. Complete process concept, project charters and business justification, Risk Analysis, feasibility/Proof of Concept, Automation FAT, SAT and validation.

Design and execute laboratory experiments, pilot-scale studies, and technology transfer activities. Manage external contractors and vendors for process development and technology transfer projects.

Collaborate with the DTO team members and other required functions to develop and implement playbooks for implementation and replication of intelligent automation technology solutions.

Provide technical support and troubleshooting expertise to resolve process-related issues, improve overall equipment effectiveness (OEE), drive root cause analysis, corrective actions and preventive measures when required.

The position will maintain strong relationships with counterparts in Manufacturing/ Operations, business units, Global Integrated Engineering, BD Excellence, Supply Chain, Quality, and Finance, ensuring timely and transparent alignment of strategies and goals. 

Provide mentoring and building of engineering capabilities to support the continuous evolution of Intelligent automation technology through skills identification and assessment, capability building, and training of associates including engineering support organization, Site operators, technicians, and engineers.

Intelligent Automation solutions selected are expected to drive value through increased asset utilization, improving OEE, optimizing labor, improving quality, reducing costs, and improving customer satisfaction. 

Maintain a high level of scientific and technical knowledge and stay updated on the latest industry trends and best practices.

Required Education and Experience:

BS Mechanical Engineering, Manufacturing/Process Engineering, Computer engineering/ Software Systems

A minimum of 15 years of progressively responsible engineering experience in manufacturing engineering, Automation design and development, technology transfer, assessment of product manufacturability, industrial engineering and project engineering preferably in a regulated industry (Medical Device, Pharma, etc) or equivalent.

A minimum of 5 years of experience in Intelligent Automation solutions and digital Transformations including machine learning, Vision and controls engineering, AMR’s, Cobots/Robotics, , AI, GenAI, and Data analytics.

Strong knowledge of process optimization techniques, lean manufacturing principles, Six Sigma methodologies and statistical analysis.

Strong project management skills with the ability to prioritize tasks and meet deadlines.

Excellent problem-solving and analytical skills with the ability to identify and resolve complex process issues.

Strong verbal and written communication skills, enabling the ability to influence decisions based on sound rationale.

Ability to manage multiple projects simultaneously and meet deadlines in a fast-paced environment.

Travel: 25% to 30% of the time

Preferred Education and Experience:

MS Mechanical Engineering, Manufacturing/Process Engineering, Computer engineering/ Software Systems

Project Management Training and/or Certification

Industry 4.0 Training and/or Certification.

Proficient in process analysis, process modelling and simulation software, and statistical analysis.

Experience with process improvement tools and methodologies such as Kaizen, 5S and Value Stream Mapping.

Knowledge of automation and control systems, such as SCADA and PLC.

For certain roles at BD, employment is contingent upon the Company’s receipt of sufficient proof that you are fully vaccinated against COVID-19. In some locations, testing for COVID-19 may be available and/or required. Consistent with BD’s Workplace Accommodations Policy, requests for accommodation will be considered pursuant to applicable law.

Why Join Us?

A career at BD means being part of a team that values your opinions and contributions and that encourages you to bring your authentic self to work. It’s also a place where we help each other be great, we do what’s right, we hold each other accountable, and learn and improve every day.

To find purpose in the possibilities, we need people who can see the bigger picture, who understand the human story that underpins everything we do. We welcome people with the imagination and drive to help us reinvent the future of health.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.