Processing Jobs in Cambridge

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Processing Jobs in Cambridge

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Looking for top Processing jobs in Cambridge? Explore a wide range of opportunities in data processing, workflow management, and automation roles tailored for skilled professionals. Find your next job in Cambridge’s thriving tech scene with Haystack – your go-to job board for the latest Processing job openings. Start your application today and advance your career!

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Senior Software Support Engineer

Senior Software Support Engineer CUAS / Radars / Sensor Systems CambridgeAre you a hands-on engineer who loves solving deep technical problems and becoming the go-to expert in your field? Maybe you ve reached a point within Software Development where you fancy a bit of a change, but staying technical?This is a great opportunity to join a small, highly skilled engineering team working on radar and sensor data processing systems used across defence and CUAS applicationsIt s not your typical support role you ll be writing code, troubleshooting complex integrations, and working directly with other engineers who speak your language. You ll get to build long-term product knowledge, technical depth, and genuine expertise in a niche but fascinating domainWhat you ll be doing:

Acting as a technical expert, supporting customers with complex software and system issues

Writing and debugging code in C++ (and sometimes C#) to solve real engineering problems (don t worry specific C++ and C# experience isn t needed, as you ll learn the products in the position itself as long as you have a programming background)

Helping customers integrate products into their systems and advising on technical best practices

Working closely with internal teams to improve documentation and feed back product insights

Building deep knowledge in radar and sensor data processing over time

Essential skills:

Background in CUAS, radar, or sensor systems

Confident debugging, troubleshooting, and solving complex technical issues

Comfortable working with technical customers in a support or applications role

Happy working onsite in a small, collaborative engineering environment

Self-sufficient, pragmatic, and keen to develop long-term expertise

Desirable skills:

Strong hands-on experience in C++ (C# / .NET experience a plus)

Experience with .NET / C#, embedded systems, or DevOps

Background in physics, maths, geospatial, or defence-related sectors

Prior customer-facing or pre-sales engineering experience

Proven track record of long tenure and technical depth in previous roles

If you enjoy deep technical work and want a role where your engineering skill genuinely matters, hit applyAnd if you re not completely sure but it sounds interesting apply anyway. Let s have a chat

Senior RF Data Scientist / Research Engineer

+3

Senior RF Data Scientist / Research Engineer Near Cambridge My client, a fast-growing AI company based near Cambridge, is seeking a Senior RF Data Scientist / Research Engineer to work at the intersection of RF hardware, digital signal processing, and machine learning. This hands-on R&D role involves analysing complex RF datasets, developing advanced signal-processing pipelines, and contributing to cutting-edge UAV/drone detection technologies.You will play a key role in prototyping new sensing capabilities, working with SDRs, designing real-world RF experiments, and integrating machine-learning models into early-stage hardwaresoftware systems. This position is ideal for someone who thrives in fast-paced, iterative prototyping environments.Key Responsibilities Analysing raw IQ data from SDR platforms (e.g., bladeRF, USRP) to extract, classify, and interpret RF signal featuresBuilding diagnostic RF analysis tools (timefrequency plots, cyclic spectra, EVM, autocorrelation, constellation tracking, etc.)Designing RF data-processing pipelines built around practical hardware constraints (bandwidth, ADC limits, gain stages, timing jitter)Modelling RF front-end behaviour (filters, mixers, LOs, AGC, noise figure) to improve signal integrity and inference accuracyDeveloping ML and statistical models for RF classification, anomaly detection, and emitter identificationPrototyping real-time or batch-processing systems in Python (NumPy, SciPy, PyTorch) with potential integration via ZMQ, GNU Radio, or C++ backendsLeading RF data collection, field experiments, and over-the-air testing using drones, wireless devices, and custom transmittersRequirements Strong Python proficiency for RF data analysis and prototyping (NumPy, SciPy, matplotlib, scikit-learn, PyTorch)Solid understanding of DSP fundamentals (FFT, filtering, modulation, correlation, noise modelling, resampling)Familiarity with SDR frameworks such as GNU Radio, SDRangel, osmoSDR, or SoapySDRPractical understanding of RF hardware chains (antenna ? filters ? mixers ? ADC) and their impact on baseband dataExperience analysing wireless protocols (Wi-Fi, LTE, LoRa, etc.) and physical-layer structuresComfortable debugging SDR setups and performing field-based RF data collectionStrong communication skills and ability to work effectively within an iterative R&D teamDesirable Hands-on experience with SDRs (bladeRF, HackRF, USRP, PlutoSDR) and RF lab equipment (spectrum analysers, VNAs, signal generators)Experience in passive radar, beamforming, TDoA, Doppler, or direction findingFamiliarity with embedded or real-time systems (FPGA pipelines, GPU acceleration, etc.)Programming experience in MATLAB, C++, Rust, or similar languagesKnowledge of RF circuit principles (impedance matching, filter design, gain budgeting)Experience designing or testing antenna arrays for sensing/detectionPublications, patents, or open-source RF/ML contributionsRole Details Location: Cambridge area (onsite or hybrid depending on project needs)Department: Research & Prototyping TeamImpact: Direct involvement in early-stage hardwaresoftware product developmentInterested? Please Click Apply Now!Senior RF Data Scientist / Research Engineer Near CambridgeTPBN1_UKTJ

Software Support Engineer

Senior Software Support Engineer CUAS / Radars / Sensor Systems CambridgeAre you a hands-on software support engineer who loves solving deep technical problems and becoming the go-to expert in your field? Maybe youve reached a point within Software Development where you fancy a bit of a change, but staying technical?This is a great opportunity to join a small, highly skilled engineering team working on radar and sensor data processing systems used across defence and CUAS applicationsIts not your typical software support engineer role youll be writing code, troubleshooting complex integrations, and working directly with other engineers who speak your language. Youll get to build long-term product knowledge, technical depth, and genuine expertise in a niche but fascinating domainWhat youll be doing:

Acting as a technical expert, supporting customers with complex software and system issues

Writing and debugging code in C++ (and sometimes C#) to solve real engineering problems (dont worry specific C++ and C# experience isnt needed, as youll learn the products in the position itself as long as you have a programming background)

Helping customers integrate products into their systems and advising on technical best practices

Working closely with internal teams to improve documentation and feed back product insights

Building deep knowledge in radar and sensor data processing over time

Essential skills:

Background in CUAS, radar, or sensor systems

Confident debugging, troubleshooting, and solving complex technical issuesComfortable working with technical customers in a support or applications role

Happy working onsite in a small, collaborative engineering environment

Self-sufficient, pragmatic, and keen to develop long-term expertise

Desirable skills:

Strong hands-on experience in C++ (C# / .NET experience a plus)

Experience with .NET / C#, embedded systems, or DevOps

Background in physics, maths, geospatial, or defence-related sectors

Prior customer-facing or pre-sales engineering experience

Proven track record of long tenure and technical depth in previous roles

If you enjoy deep technical work and want a software support engineer role where your engineering skill genuinely matters, hit applyAnd if youre not completely sure but it sounds interesting apply anyway. Lets have a chat

Development and Systems Manager

Are you ready to take on a senior leadership role within Estates and Facilities? Sellick Partnership is seeking an experienced Development and Systems Manager (CAFM) to lead the development, management, and operation of critical systems and processes that support building engineering maintenance across a large, complex healthcare environmentThis is a strategic role requiring strong project management skills, technical expertise in Estates systems, and the ability to influence and lead changeSystems and Development ManagerStarting salary: £55,690 - Flexible Hours: Full-time, 37.5 hours per week Location: Cambridge, CambridgeshireDuties of the Development and Systems Manager includes, but is not limited to:

Overseeing and managing CAFM systems and asset databases.

Leading on data quality, compliance, and reporting for estates assurance.

Managing and developing maintenance processes aligned with statutory and NHS standards.

Providing leadership to teams, ensuring continuous improvement and customer-focused service delivery.

Acting as the technical and managerial lead for systems under your control.

The successful Development candidate will have:

Degree in IM&T or an equivalent technical discipline

PRINCE2 Practitioner qualification

Significant experience in Estates or Technical management, including data and information systems

Strong IT knowledge, including CAFM systems and asset management

Benefits of the Systems and Development Manager will include:

Generous annual leave: starting at 27 days plus public holidays, rising with service

Sought after pension scheme: one of the most comprehensive schemes available

Flexible working options and family-friendly policies

Learning and development opportunities: tailored to help you grow

Employee wellbeing support: including occupational health and counselling services

Childcare support: access to on-site nursery and childcare vouchers

If you would be interested in the Systems and Development Manager role, please apply now. For more information, please contact Ebony Simpson at Sellick Partnership in the Derby OfficeSellick Partnership is proud to be an inclusive and accessible recruitment business and we support applications from candidates of all backgrounds and circumstances. Please note, our advertisements use years’ experience, hourly rates, and salary levels purely as a guide and we assess applications based on the experience and skills evidenced on the CV. For information on how your personal details may be used by Sellick Partnership, please review our data processing notice on our website.

Location: Hybrid (2 days per week in-office, Cambridge) Contract: 3-6 months (Inside IR35) Day Rate: (Apply online only) (negotiable based on experience)Role OverviewWe are seeking an experienced Data Analyst to support the documentation and clarification of legacy systems. The successful candidate will focus on mapping data flows and system dependencies to improve transparency and lay the foundation for future enhancements within reporting across all business metrics.Key Responsibilities

Document existing data flows and dependencies across Excel, Access, and SQL Server.

Identify connections between files and systems, clarifying data origins and processing steps.

Provide clear documentation to support internal teams and future system improvements.

Support the business in maintaining and developing critical reports.

Skills & Experience Required

Essential:

Advanced skills in Excel and Access.

Strong experience with SQL Server Management Studio.

Ability to document and map complex data flows.

Desirable:

Power BI experience (beneficial for future development).

Senior RF Data Scientist / Research Engineer

We are working with a high-growth AI technology company in the Greater Cambridge area who are seeking a Senior RF Data Scientist / Research Engineer to work at the intersection of RF hardware, digital signal processing, and machine learning. This is a hands-on R&D role ideally suited to engineers and scientists who enjoy fast-paced prototyping, complex problem-solving, and developing cutting-edge UAV/drone detection technologies.In this role, you will analyse complex RF data from software-defined radios (SDRs), develop advanced signal-processing pipelines, and contribute directly to the design and testing of novel sensing systems. You will be responsible for extracting and classifying RF signal features from raw IQ data, building diagnostic tools to characterise RF signals, and designing data-processing pipelines that account for real-world hardware constraints such as bandwidth limitations, ADC performance, and timing jitter. You will also model RF front-end behaviour, improving signal integrity and inference accuracy, and apply machine learning and statistical models for classification, anomaly detection, and emitter identification.You will prototype real-time and batch-processing systems using Python (NumPy, SciPy, PyTorch) and integrate them with frameworks such as GNU Radio, ZMQ, or C++ backends. The role involves leading RF data collection, field experiments, and over-the-air testing with drones, wireless devices, and custom transmitters. Collaboration across engineering and research teams is central, and you will contribute to both experimental design and iterative R&D development.The ideal candidate will have strong Python proficiency for data analysis and prototyping, a solid understanding of digital signal processing (FFT, filtering, modulation, correlation, resampling, and noise modelling), and familiarity with SDR frameworks such as GNU Radio, SDRangel, osmoSDR, or SoapySDR. A practical understanding of RF hardware chains - from antenna through filters, mixers, and ADCs - and their impact on baseband data is essential. You should also be comfortable debugging SDR setups, performing field-based RF data collection, and analysing wireless protocols such as Wi-Fi, LTE, and LoRa. Strong communication skills and the ability to work iteratively in a research-focused environment are essential.Experience with SDR hardware (bladeRF, HackRF, USRP, PlutoSDR), RF lab equipment (spectrum analysers, VNAs, signal generators), embedded or real-time systems, beamforming, passive radar, or antenna array design is highly desirable. Knowledge of RF circuit fundamentals, FPGA or GPU acceleration, and prior publications, patents, or open-source RF/ML contributions are also beneficial but not essential.This is a full-time role based in Saffron Walden / Greater Cambridge, with flexibility for onsite or hybrid working depending on project needs. You will join a dynamic Research & Prototyping team, directly influencing early-stage hardware-software product development and shaping the next generation of AI-driven sensing technologies.If you are an experienced RF data scientist or research engineer looking for a hands-on role at the cutting edge of RF, signal processing, and machine learning, we would love to hear from you.Zero Surplus is one of the UK’s premier recruitment agencies, based just outside Cambridge our recruiters source staff for small and international businesses across Suffolk, Essex, Hertfordshire, Northants, Milton Keynes, Cambridgeshire, and the rest of the UK.For registration purposes, please let us know where you are currently based or which locations you are considering as well as your required salary and notice period.Please upload a Microsoft Word version of your CV where possible, excluding text boxes or images. Any data we collect from you will be stored and processed in accordance with Zero Surplus’ Privacy Policy.

Graduate Software Engineer X 4

+3

Graduate Software Engineer High-Growth Research & Technology Company (Near Cambridge)My client is a fast-growing research and technology company near Cambridge, seeking a Graduate R&D Software Engineer to support a broad range of research and development activities. This is an exciting entry-level opportunity for a motivated early-career engineer who enjoys variety, problem-solving, and working in a fast-paced, hands-on environment.Key Responsibilities

Design and develop innovative software solutions in collaboration with the engineering team

Build tools and methods for data gathering, preprocessing, and optimisation for machine learning and algorithm development

Oversee and maintain operational company systems (Linux-based)

Contribute across a broad mix of R&D, software, data science, and technical problem-solving tasks

RequirementsEssential

Highly motivated, adaptable, and eager to learn across varied technical domains

Recent 2:1 (or above) graduate in a STEM discipline (e.g., Computer Science, Engineering, Physics, Mathematics)

Strong experience in at least one programming language (e.g., Python, Java, C++)

Analytical mindset with strong problem-solving skills and attention to detail

Desirable

Experience with Python and familiarity with data science or machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch)

Interest or experience in signals, RF, or SDRs

Knowledge of version control (Git), containerisation (Docker), or cloud platforms (AWS, Google Cloud)

Academic or project experience in ML, data science, or digital signal processing

Enthusiasm for working in a startup environment and taking ownership of initiatives

What s on Offer

Entry-level role with exposure to the full product development lifecycle

Opportunity to work with cutting-edge technology in a collaborative, dynamic R&D environment

Hands-on experience in software, data, and algorithm development within a scaling technology company

Work onsite near Cambridge with close collaboration across engineering, research, and product teams

Chance to contribute to impactful projects and take ownership of initiatives

Interested? Please Click Apply Now! Graduate Software Engineer High-Growth Research & Technology Company (Near Cambridge)

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Frequently asked questions

What types of processing jobs are available in Cambridge on Haystack?

Haystack features a variety of processing jobs in Cambridge, including data processing, signal processing, transaction processing, and image processing roles across different industries.

How can I apply for processing jobs in Cambridge through Haystack?

To apply, simply create a Haystack account, upload your CV, and submit applications directly through the job postings listed for processing positions in Cambridge.

Are there remote or flexible processing job opportunities in Cambridge listed on Haystack?

Yes, many processing job listings on Haystack specify whether remote or flexible working options are available. You can filter searches to find roles with these options.

What qualifications are commonly required for processing jobs in Cambridge?

Most processing jobs in Cambridge require relevant technical qualifications such as degrees in computer science, engineering, or related fields, along with experience in processing technologies or software.

Does Haystack provide resources to help improve my chances of getting a processing job in Cambridge?

Yes, Haystack offers career advice, CV tips, and interview preparation materials tailored for IT professionals seeking processing jobs in Cambridge.