Operations Technician (Landfill Gas)

First Military Recruitment Ltd

Blackburn

1 month ago

Applications closed

Related Jobs

View all jobs

Health and Safety Technician

Subsea Robotics Manager

Regional Service Manager Fire and Security

VRS Engineer

Postharvest Bioscience Researcher (KTP Associate)

Vehicle Technician

MS560 - Operations Technician (Landfill Gas)Location: Blackburn Salary: £35,378 to £40,887 per annum + company vehicle & benefits.Overview: First Military Recruitment are currently seeking an Operations Technician on behalf of one of our clients.The successful candidate will be responsible for being under the supervision of the Area Manager, you will complete the day to day operations of the gas field and generators at the assigned sites in order to achieve maximum electrical output, whilst maintaining the highest levels of safety. The ideal candidate will have a strong mechanical or electrical bias and ideally located Northern Manchester through to Blackburn & East to Bradford/Leeds.The role has will include an on-call duty, one in five weeks, covering sites in Durham, Doncaster & Fleetwood. Our client encourages applications from ex-military personnel however all candidates will be given due consideration.Duties and Responsibilities:Ensure that safe working practises and procedures are adhered to within all areas of work.Assist with the implementing and supervising of health, safety and quality procedures at sites.Assist with planned, preventative and breakdown maintenance of the generator sets and all other associated plant and equipment.Provide backup and call out assistance to Operations Technicians at other sites.Complete accurate and concise record keeping of operations and maintenance.Ensure required gas field readings are made and issued on time to relevant personnel.Assist in the ordering of consumable parts items, including, lube oils, filters, spark plugs, fan belts, etc.Maintain adequate spare parts stock on assigned sites.Carry out routine stock takes of parts at site.Position is Monday to Friday- 8am to 5pm with an hour for lunch.On-Call (once fully trained) - one in three/four weeks.Van supplied (reportable via HMRC).Skills and Qualifications:The successful candidate will have operations and maintenance experience, with reciprocating engines and/or the relating control systems.Be qualified to BTEC level or equivalent, preferably in a mechanical discipline or proven previous experience.This position requires a high degree of flexibility, self-motivation, initiative, the ability to work well as part of a team and at times work alone.This position has an On-Call requirement

Get the latest insights and jobs direct. Sign up for our newsletter.

Industry Insights

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

Mar 12, 2025

Careers Jobs

Top 10 Books to Advance Your Machine Learning Career in the UK

Machine learning (ML) remains one of the fastest-growing fields within technology, reshaping industries across the UK from finance and healthcare to e-commerce, telecommunications, and beyond. With increasing demand for ML specialists, job seekers who continually update their knowledge and skills hold a significant advantage. In this article, we've curated ten essential books every machine learning professional or aspiring ML engineer in the UK should read. Covering foundational theory, practical implementations, advanced techniques, and industry trends, these resources will equip you to excel in your machine learning career.

Mar 9, 2025

Careers

Navigating Machine Learning Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

Machine learning (ML) has swiftly become one of the most in-demand skill areas across industries, with companies leveraging predictive models and data-driven insights to solve challenges in healthcare, finance, retail, manufacturing, and beyond. Whether you’re an early-career data scientist aiming to break into ML, a seasoned engineer branching into deep learning, or a product manager exploring AI-driven solutions, machine learning career fairs offer a powerful route to connect with prospective employers face-to-face. Attending these events can help you: Network with hiring managers and technical leads who make direct recruitment decisions. Gain insider insights on the latest ML trends and tools. Learn about emerging job roles and new industry verticals adopting machine learning. Showcase your interpersonal and communication skills, both of which are increasingly important in collaborative AI/ML environments. However, with many applicants vying for attention in a bustling hall, standing out isn’t always easy. In this detailed guide, we’ll walk you through how to prepare meticulously, pitch yourself confidently, ask relevant questions, and follow up effectively to land the machine learning opportunity that aligns with your ambitions.

Mar 8, 2025

Jobs

Common Pitfalls Machine Learning Job Seekers Face and How to Avoid Them

Machine learning has emerged as one of the most sought-after fields in technology, with companies across industries—from retail and healthcare to finance and manufacturing—embracing data-driven solutions at an unprecedented pace. In the UK, the demand for skilled ML professionals continues to soar, and opportunities in this domain are abundant. Yet, amid this growing market, competition for machine learning jobs can be fierce. Prospective employers set a high bar: they seek candidates with not just theoretical understanding, but also strong practical skills, business sense, and an aptitude for effective communication. Whether you’re a recent graduate, a data scientist transitioning into machine learning, or a seasoned developer pivoting your career, it’s essential to avoid common mistakes that may hinder your prospects. This blog post explores the pitfalls frequently encountered by machine learning job seekers, and offers actionable guidance on how to steer clear of them. If you’re looking for roles in this thriving sector, don’t forget to check out Machine Learning Jobs for the latest vacancies across the UK. In this article, we’ll break down these pitfalls to help you refine your approach in applications, interviews, and career development. By taking on board these insights, you can significantly enhance your employability, stand out from the competition, and secure a rewarding position in the world of machine learning.