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

Apply Now

Junior Developer (Python/Java)

Northampton
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer (Snowflake)

Senior Data Engineer (Snowflake)

Python Data Engineer

Python, Data Engineer

GenAI Data Engineer

Junior Data Analyst

Job Title: Junior Software Engineer (AI and Automation)

Location: Northampton

Company: A Leading Engineering and Automation Solutions Firm

About the Company: This company is a leader in engineering and automation solutions, delivering state-of-the-art technology to transform industries. The team is dedicated to leveraging cutting-edge AI-driven automation to enhance efficiency, safety, and reliability. As the company continues to expand, they are seeking a highly motivated Junior Software Engineer to join their ranks. This onsite position offers a unique opportunity to start from the ground up, with the potential to grow into a leadership role, eventually building and leading a team.

Why This Opportunity is Ideal:

Career Growth in a High-Growth Industry: This position offers the start of a career in one of the most dynamic and rapidly expanding sectors. The Junior Software Engineer will work on AI and automation projects that are at the forefront of technology, acquiring skills that are in high demand.

Learning from Industry Experts: The selected candidate will be mentored by seasoned engineers and professionals who are leaders in SCADA automation and AI. This is a rare opportunity to learn directly from experts and to build both technical and professional skills.

Project Ownership from Day One: The Junior Software Engineer will have the chance to take ownership of key projects from the start, working closely with the senior team to design, develop, and deploy AI-driven automation solutions. Their work will directly impact real-world industrial applications.

Clear Pathway to Leadership: The company is committed to nurturing talent from within. As the Junior Software Engineer grows and develops their skills, there is a clear pathway to assume more responsibility, including the opportunity to lead a team. This role is perfect for someone who wants to make a significant impact and rise to a leadership position.

Innovating with Purpose: The company’s projects are focused on more than just technology they aim to make a real difference in how industries operate. The Junior Software Engineer will be at the forefront of creating solutions that enhance efficiency, safety, and sustainability in critical sectors.

Key Responsibilities:

Develop and maintain software using Python and Java to automate SCADA Ignition systems.
Collaborate with senior engineers to design and implement AI algorithms that improve system performance.
Integrate AI solutions with SCADA frameworks, ensuring seamless operation and data flow.
Participate in code reviews, testing, and debugging to deliver high-quality software.
Document system designs and best practices, contributing to the company’s growing knowledge base.
Work closely with cross-functional teams to deliver innovative solutions that meet client needs.
Prepare for increasing levels of responsibility, with the potential to lead a team in the future.
Qualifications:

Bachelor’s degree in Computer Science, Engineering, or a related field.
Proficiency in Python and Java.
Strong interest in AI, machine learning, and automation.
Eagerness to learn and grow in a challenging, fast-paced environment.
Excellent communication and teamwork skills.
A proactive mindset with a desire to take on leadership responsibilities as skills develop.
Must be able to work onsite at the company’s location.

What the Company Offers:

A dynamic and supportive work environment that fosters creativity and innovation.
Mentorship from industry experts to accelerate professional growth.
A clear career path with opportunities to assume leadership roles.
Competitive salary and benefits.
The opportunity to work on impactful projects that drive the future of industrial automation.

How to Apply: Ambitious individuals ready to take on the challenge of growing with the company are encouraged to submit a resume and cover letter detailing their enthusiasm for this opportunity.

Equal Opportunity Employer: The company is committed to creating a diverse and inclusive environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, disability, or veteran status

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.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.